Notification Triggers for Python

Related tags

Deep Learningnotipyer
Overview

Notipyer

Notification triggers for Python

Send async email notifications via Python. Get updates/crashlogs from your scripts with ease.

Installation

python -m venv env
source env/bin/activate
pip install notipyer

Email Notifications

Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

  1. Turn off 2-Step authentication. Ref
  2. Turn on "Less Secure App Access" here

Configuration

from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

Sending Email

from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

Contact

Chirag Jain

You might also like...
Automatic self-diagnosis program (python required)Automatic self-diagnosis program (python required)

auto-self-checker 자동으로 자가진단 해주는 프로그램(python 필요) 중요 이 프로그램이 실행될때에는 절대로 마우스포인터를 움직이거나 키보드를 건드리면 안된다(화면인식, 마우스포인터로 직접 클릭) 사용법 프로그램을 구동할 폴더 내의 cmd창에서 pip

POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propagation including diffraction
POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propagation including diffraction

POPPY: Physical Optics Propagation in Python POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propaga

Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project

Space Invaders This is a simple SPACE INVADER game create using PYGAME whihc hav

Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python

yolov5-opencv-cpp-python Example of performing inference with ultralytics YOLO V

Python-kafka-reset-consumergroup-offset-example - Python Kafka reset consumergroup offset example

Python Kafka reset consumergroup offset example This is a simple example of how

Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.

PyOpenVINO - An Experimental Python Implementation of OpenVINO Inference Engine (minimum-set) Description The PyOpenVINO is a spin-off product from my

A python-image-classification web application project, written in Python and served through the Flask Microframework
A python-image-classification web application project, written in Python and served through the Flask Microframework

A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.
Comments
  • Bump certifi from 2020.12.5 to 2022.12.7

    Bump certifi from 2020.12.5 to 2022.12.7

    Bumps certifi from 2020.12.5 to 2022.12.7.

    Commits

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


    Dependabot commands and options

    You can trigger Dependabot actions by commenting on this PR:

    • @dependabot rebase will rebase this PR
    • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
    • @dependabot merge will merge this PR after your CI passes on it
    • @dependabot squash and merge will squash and merge this PR after your CI passes on it
    • @dependabot cancel merge will cancel a previously requested merge and block automerging
    • @dependabot reopen will reopen this PR if it is closed
    • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
    • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    • @dependabot use these labels will set the current labels as the default for future PRs for this repo and language
    • @dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language
    • @dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language
    • @dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

    You can disable automated security fix PRs for this repo from the Security Alerts page.

    dependencies 
    opened by dependabot[bot] 0
Releases(v0.3.3)
  • v0.3.3(Mar 28, 2022)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
    source env/bin/activate
    pip install notipyer
    

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config
    
    SENDER_EMAIL = '[email protected]'
    SENDER_PASS = 'my_app_password'
    SENDER_NAME = 'my name'
    set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)
    

    Sending Email

    from notipyer.email_notify import send_email
    
    subject = 'My Email Subject'
    body = 'My Email Body'
    to_recipients = ['[email protected]', '[email protected]'] # Can be None
    cc_recipients = ['[email protected]', '[email protected]'] # Can be None
    bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
    attachment_path = 'path_to_my_file' # Can be None
    html = """\
    <html>
      <head></head>
      <body>
        <p>Hi!<br>
           How are you?<br>
        </p>
      </body>
    </html>
    """ # Can be None
    is_async = True # Sent as an async email only if this parameter is True
    
    send_email(subject, body, to_recipients, cc_recipients, bcc_recipients, attachment_path, html_text, is_async)
    

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config
    
    # Follow the wiki for getting the bot token
    BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
    set_slack_token_config(BOT_TOKEN)
    

    Sending Message

    from notipyer.slack_notify import send_message
    
    # the bot should be added to the channel
    channel = 'my-channel-name'
    message = 'my-message'
    
    set_slack_token_config(SLACK_TOKEN)
    send_message(channel, message)
    

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
  • v0.3.2(Feb 9, 2022)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
    source env/bin/activate
    pip install notipyer
    

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config
    
    SENDER_EMAIL = '[email protected]'
    SENDER_PASS = 'my_app_password'
    SENDER_NAME = 'my name'
    set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)
    

    Sending Email

    from notipyer.email_notify import send_email
    
    subject = 'My Email Subject'
    body = 'My Email Body'
    to_recipients = ['[email protected]', '[email protected]'] # Can be None
    cc_recipients = ['[email protected]', '[email protected]'] # Can be None
    bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
    attachment_path = 'path_to_my_file' # Can be None
    is_async = True # Sent as an async email only if this parameter is True
    
    send_email(subject, body, to_recipients, cc_recipients, bcc_recipients, attachment_path, is_async)
    

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config
    
    # Follow the wiki for getting the bot token
    BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
    set_slack_token_config(BOT_TOKEN)
    

    Sending Message

    from notipyer.slack_notify import send_message
    
    # the bot should be added to the channel
    channel = 'my-channel-name'
    message = 'my-message'
    
    set_slack_token_config(SLACK_TOKEN)
    send_message(channel, message)
    

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
  • v0.3.1(Feb 9, 2022)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
    source env/bin/activate
    pip install notipyer
    

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config
    
    SENDER_EMAIL = '[email protected]'
    SENDER_PASS = 'my_app_password'
    SENDER_NAME = 'my name'
    set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)
    

    Sending Email

    from notipyer.email_notify import send_email
    
    subject = 'My Email Subject'
    body = 'My Email Body'
    to_recipients = ['[email protected]', '[email protected]'] # Can be None
    cc_recipients = ['[email protected]', '[email protected]'] # Can be None
    bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
    attachment_path = 'path_to_my_file' # Can be None
    
    send_email(subject, body, to_recipients, cc_recipients, bcc_recipients, attachment_path)
    

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config
    
    # Follow the wiki for getting the bot token
    BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
    set_slack_token_config(BOT_TOKEN)
    

    Sending Message

    from notipyer.slack_notify import send_message
    
    # the bot should be added to the channel
    channel = 'my-channel-name'
    message = 'my-message'
    
    set_slack_token_config(SLACK_TOKEN)
    send_message(channel, message)
    

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
  • v0.2.3(Dec 25, 2021)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
    source env/bin/activate
    pip install notipyer
    

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config
    
    SENDER_EMAIL = '[email protected]'
    SENDER_PASS = 'my_app_password'
    SENDER_NAME = 'my name'
    set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)
    

    Sending Email

    from notipyer.email_notify import send_email
    
    subject = 'My Email Subject'
    body = 'My Email Body'
    to_recipients = ['[email protected]', '[email protected]'] # Can be None
    cc_recipients = ['[email protected]', '[email protected]'] # Can be None
    bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
    
    send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)
    

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config
    
    # Follow the wiki for getting the bot token
    BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
    set_slack_token_config(BOT_TOKEN)
    

    Sending Message

    from notipyer.slack_notify import send_message
    
    # the bot should be added to the channel
    channel = 'my-channel-name'
    message = 'my-message'
    
    set_slack_token_config(SLACK_TOKEN)
    send_message(channel, message)
    

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
  • v0.2.1(Sep 5, 2021)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
    source env/bin/activate
    pip install notipyer
    

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config
    
    SENDER_EMAIL = '[email protected]'
    SENDER_PASS = 'my_app_password'
    SENDER_NAME = 'my name'
    set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)
    

    Sending Email

    from notipyer.email_notify import send_email
    
    subject = 'My Email Subject'
    body = 'My Email Body'
    to_recipients = ['[email protected]', '[email protected]'] # Can be None
    cc_recipients = ['[email protected]', '[email protected]'] # Can be None
    bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
    
    send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)
    

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config
    
    # Follow the wiki for getting the bot token
    BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
    set_slack_token_config(BOT_TOKEN)
    

    Sending Message

    from notipyer.slack_notify import send_message
    
    # the bot should be added to the channel
    channel = 'my-channel-name'
    message = 'my-message'
    
    set_slack_token_config(SLACK_TOKEN)
    send_message(channel, message)
    

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    Notipyer-0.2.1.tar.gz(3.49 KB)
    Notipyer-0.2.1.win-amd64.zip(12.94 KB)
  • v0.2.0(Aug 27, 2021)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
    source env/bin/activate
    pip install notipyer
    

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config
    
    SENDER_EMAIL = '[email protected]'
    SENDER_PASS = 'my_app_password'
    set_email_config(SENDER_EMAIL, SENDER_PASS)
    

    Sending Email

    from notipyer.email_notify import send_email
    
    subject = 'My Email Subject'
    body = 'My Email Body'
    to_recipients = ['[email protected]', '[email protected]'] # Can be None
    cc_recipients = ['[email protected]', '[email protected]'] # Can be None
    bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
    
    send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)
    

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config
    
    # Follow the wiki for getting the bot token
    BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
    set_slack_token_config(BOT_TOKEN)
    

    Sending Message

    from notipyer.slack_notify import send_message
    
    # the bot should be added to the channel
    channel = 'my-channel-name'
    message = 'my-message'
    
    set_slack_token_config(SLACK_TOKEN)
    send_message(channel, message)
    

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
  • v0.1.2(May 29, 2021)

    Notipyer

    Notification triggers for Python

    Send async email notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
    source env/bin/activate
    pip install notipyer
    

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

    1. Turn off 2-Step authentication. Ref
    2. Turn on "Less Secure App Access" here

    Configuration

    from notipyer.email_notify import set_email_config
    
    SENDER_EMAIL = '[email protected]'
    SENDER_PASS = 'password'
    set_email_config(SENDER_EMAIL, SENDER_PASS)
    

    Sending Email

    from notipyer.email_notify import send_email
    
    subject = 'My Email Subject'
    body = 'My Email Body'
    to_recipients = ['[email protected]', '[email protected]'] # Can be None
    cc_recipients = ['[email protected]', '[email protected]'] # Can be None
    bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
    
    send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)
    

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    notipyer-0.1.2.tar.gz(3.20 KB)
  • v0.1.1(May 29, 2021)

    Notipyer

    Notification triggers for Python

    Installation

    python -m venv env
    source env/bin/activate
    pip install notipyer
    

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

    1. Turn off 2-Step authentication. Ref
    2. Turn on "Less Secure App Access" here

    Configuration

    from notipyer.email_notify import set_email_config
    
    SENDER_EMAIL = '[email protected]'
    SENDER_PASS = 'password'
    set_email_config(SENDER_EMAIL, SENDER_PASS)
    

    Sending Email

    from notipyer.email_notify import send_email
    
    subject = 'My Email Subject'
    body = 'My Email Body'
    to_recipients = ['[email protected]', '[email protected]'] # Can be None
    cc_recipients = ['[email protected]', '[email protected]'] # Can be None
    bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
    
    send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)
    

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    notipyer-0.1.1.tar.gz(3.14 KB)
  • v.0.1.3(May 29, 2021)

    Notipyer

    Notification triggers for Python

    Send async email notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
    source env/bin/activate
    pip install notipyer
    

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

    1. Turn off 2-Step authentication. Ref
    2. Turn on "Less Secure App Access" here

    Configuration

    from notipyer.email_notify import set_email_config
    
    SENDER_EMAIL = '[email protected]'
    SENDER_PASS = 'password'
    set_email_config(SENDER_EMAIL, SENDER_PASS)
    

    Sending Email

    from notipyer.email_notify import send_email
    
    subject = 'My Email Subject'
    body = 'My Email Body'
    to_recipients = ['[email protected]', '[email protected]'] # Can be None
    cc_recipients = ['[email protected]', '[email protected]'] # Can be None
    bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
    
    send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)
    

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    notipyer-0.1.3.tar.gz(3.12 KB)
Owner
Chirag Jain
CSE Undergrad at IIIT Delhi
Chirag Jain
CCP dataset from Clothing Co-Parsing by Joint Image Segmentation and Labeling

Clothing Co-Parsing (CCP) Dataset Clothing Co-Parsing (CCP) dataset is a new clothing database including elaborately annotated clothing items. 2, 098

Wei Yang 434 Dec 24, 2022
[NeurIPS 2020] Blind Video Temporal Consistency via Deep Video Prior

pytorch-deep-video-prior (DVP) Official PyTorch implementation for NeurIPS 2020 paper: Blind Video Temporal Consistency via Deep Video Prior TensorFlo

Yazhou XING 90 Oct 19, 2022
Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset

SW-CV-ModelZoo Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset Framework: TF/Keras 2.7 Training SQLite D

20 Dec 27, 2022
Code and models used in "MUSS Multilingual Unsupervised Sentence Simplification by Mining Paraphrases".

Multilingual Unsupervised Sentence Simplification Code and pretrained models to reproduce experiments in "MUSS: Multilingual Unsupervised Sentence Sim

Facebook Research 81 Dec 29, 2022
Hyperopt for solving CIFAR-100 with a convolutional neural network (CNN) built with Keras and TensorFlow, GPU backend

Hyperopt for solving CIFAR-100 with a convolutional neural network (CNN) built with Keras and TensorFlow, GPU backend This project acts as both a tuto

Guillaume Chevalier 103 Jul 22, 2022
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

This is a Pytorch implementation of Janai, J., Güney, F., Ranjan, A., Black, M. and Geiger, A., Unsupervised Learning of Multi-Frame Optical Flow with

Anurag Ranjan 110 Nov 02, 2022
A Python package for faster, safer, and simpler ML processes

Bender 🤖 A Python package for faster, safer, and simpler ML processes. Why use bender? Bender will make your machine learning processes, faster, safe

Otovo 6 Dec 13, 2022
Code for SALT: Stackelberg Adversarial Regularization, EMNLP 2021.

SALT: Stackelberg Adversarial Regularization Code for Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach, EMNLP 2021. R

Simiao Zuo 10 Jan 10, 2022
Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness (NeurIPS2021) This repository contains code for the paper "Smo

Jongheon Jeong 17 Dec 27, 2022
An official implementation of "Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation" (ICCV 2021) in PyTorch.

Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation This is an official implementation of the paper "Exploiting a Joint

CV Lab @ Yonsei University 35 Oct 26, 2022
Code for the ECCV2020 paper "A Differentiable Recurrent Surface for Asynchronous Event-Based Data"

A Differentiable Recurrent Surface for Asynchronous Event-Based Data Code for the ECCV2020 paper "A Differentiable Recurrent Surface for Asynchronous

Marco Cannici 21 Oct 05, 2022
Model-based Reinforcement Learning Improves Autonomous Racing Performance

Racing Dreamer: Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars In this work, we propose to learn a racing contro

Cyber Physical Systems - TU Wien 38 Dec 06, 2022
Implementation for Simple Spectral Graph Convolution in ICLR 2021

Simple Spectral Graph Convolutional Overview This repo contains an example implementation of the Simple Spectral Graph Convolutional (S^2GC) model. Th

allenhaozhu 64 Dec 31, 2022
Reinforcement learning models in ViZDoom environment

DoomNet DoomNet is a ViZDoom agent trained by reinforcement learning. The agent is a neural network that outputs a probability of actions given only p

Andrey Kolishchak 126 Dec 09, 2022
This repository contains the segmentation user interface from the OpenSurfaces project, extracted as a lightweight tool

OpenSurfaces Segmentation UI This repository contains the segmentation user interface from the OpenSurfaces project, extracted as a lightweight tool.

Sean Bell 66 Jul 11, 2022
NIMA: Neural IMage Assessment

PyTorch NIMA: Neural IMage Assessment PyTorch implementation of Neural IMage Assessment by Hossein Talebi and Peyman Milanfar. You can learn more from

Kyryl Truskovskyi 293 Dec 30, 2022
Auto-Lama combines object detection and image inpainting to automate object removals

Auto-Lama Auto-Lama combines object detection and image inpainting to automate object removals. It is build on top of DE:TR from Facebook Research and

44 Dec 09, 2022
TensorFlow implementation of the algorithm in the paper "Decoupled Low-light Image Enhancement"

Decoupled Low-light Image Enhancement Shijie Hao1,2*, Xu Han1,2, Yanrong Guo1,2 & Meng Wang1,2 1Key Laboratory of Knowledge Engineering with Big Data

17 Apr 25, 2022
Object detection GUI based on PaddleDetection

PP-Tracking GUI界面测试版 本项目是基于飞桨开源的实时跟踪系统PP-Tracking开发的可视化界面 在PaddlePaddle中加入pyqt进行GUI页面研发,可使得整个训练过程可视化,并通过GUI界面进行调参,模型预测,视频输出等,通过多种类型的识别,简化整体预测流程。 GUI界面

杨毓栋 68 Jan 02, 2023
A Real-ESRGAN equipped Colab notebook for CLIP Guided Diffusion

#360Diffusion automatically upscales your CLIP Guided Diffusion outputs using Real-ESRGAN. Latest Update: Alpha 1.61 [Main Branch] - 01/11/22 Layout a

78 Nov 02, 2022