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

null 1 Dec 30, 2021
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 Telescope Science Institute 132 Dec 15, 2022
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

Gaurav Pandey 2 Jan 8, 2022
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

Snapchat like filter App using opencv python Backend : opencv and python Library

null 2 Jul 19, 2022
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

null 183 Jan 9, 2023
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

Willi Carlsen 1 Feb 16, 2022
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

Yasunori Shimura 7 Oct 31, 2022
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.

Gerald Maduabuchi 19 Dec 12, 2022
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.

Image Classification in Python Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture th

Gerald Maduabuchi 19 Dec 12, 2022
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
GitHub Repository https://pypi.org/project/notipyer/
Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN"

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtu

68 Dec 21, 2022
Instance-conditional Knowledge Distillation for Object Detection

Instance-conditional Knowledge Distillation for Object Detection This is a MegEngine implementation of the paper "Instance-conditional Knowledge Disti

MEGVII Research 47 Nov 17, 2022
An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range image. IROS21

FIDNet_SemanticKITTI Motivation Implementing complicated network modules with only one or two points improvement on hardware is tedious. So here we pr

YimingZhao 54 Dec 12, 2022
Pytorch code for our paper Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains)

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains (ICLR'2022) This is the Pytorch code for our paper Beyond ImageNet

Alibaba-AAIG 37 Nov 23, 2022
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

NTIRE2017 Super-resolution Challenge: SNU_CVLab Introduction This is our project repository for CVPR 2017 Workshop (2nd NTIRE). We, Team SNU_CVLab, (B

Bee Lim 625 Dec 30, 2022
Learning Continuous Signed Distance Functions for Shape Representation

DeepSDF This is an implementation of the CVPR '19 paper "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" by Park et a

Meta Research 1.1k Jan 01, 2023
Subpopulation detection in high-dimensional single-cell data

PhenoGraph for Python3 PhenoGraph is a clustering method designed for high-dimensional single-cell data. It works by creating a graph ("network") repr

Dana Pe'er Lab 42 Sep 05, 2022
Notepy is a full-featured Notepad Python app

Notepy A full featured python text-editor Notable features Autocompletion for parenthesis and quote Auto identation Syntax highlighting Compile and ru

Mirko Rovere 11 Sep 28, 2022
A simple python stock Predictor

Python Stock Predictor A simple python stock Predictor Demo Run Locally Clone the project git clone https://github.com/yashraj-n/stock-price-predict

Yashraj narke 5 Nov 29, 2021
StrongSORT: Make DeepSORT Great Again

StrongSORT StrongSORT: Make DeepSORT Great Again StrongSORT: Make DeepSORT Great Again Yunhao Du, Yang Song, Bo Yang, Yanyun Zhao arxiv 2202.13514 Abs

369 Jan 04, 2023
[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

DASR Pytorch implementation of "Unsupervised Degradation Representation Learning for Blind Super-Resolution", CVPR 2021 [arXiv] Overview Requirements

Longguang Wang 318 Dec 24, 2022
DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene.

DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.

sunset 709 Dec 31, 2022
Visualization toolkit for neural networks in PyTorch! Demo -->

FlashTorch A Python visualization toolkit, built with PyTorch, for neural networks in PyTorch. Neural networks are often described as "black box". The

Misa Ogura 692 Dec 29, 2022
A curated list of neural network pruning resources.

A curated list of neural network pruning and related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers and Awesome-NAS.

Yang He 1.7k Jan 09, 2023
The dataset of tweets pulling from Twitters with keyword: Hydroxychloroquine, location: US, Time: 2020

HCQ_Tweet_Dataset: FREE to Download. Keywords: HCQ, hydroxychloroquine, tweet, twitter, COVID-19 This dataset is associated with the paper "Understand

2 Mar 16, 2022
Codes for paper "Towards Diverse Paragraph Captioning for Untrimmed Videos". CVPR 2021

Towards Diverse Paragraph Captioning for Untrimmed Videos This repository contains PyTorch implementation of our paper Towards Diverse Paragraph Capti

Yuqing Song 61 Oct 11, 2022
[ICCV 2021] Deep Hough Voting for Robust Global Registration

Deep Hough Voting for Robust Global Registration, ICCV, 2021 Project Page | Paper | Video Deep Hough Voting for Robust Global Registration Junha Lee1,

Junha Lee 10 Dec 02, 2022
Few-shot NLP benchmark for unified, rigorous eval

FLEX FLEX is a benchmark and framework for unified, rigorous few-shot NLP evaluation. FLEX enables: First-class NLP support Support for meta-training

AI2 85 Dec 03, 2022
Fast Learning of MNL Model From General Partial Rankings with Application to Network Formation Modeling

Fast-Partial-Ranking-MNL This repo provides a PyTorch implementation for the CopulaGNN models as described in the following paper: Fast Learning of MN

Xingjian Zhang 3 Aug 19, 2022
Stochastic Extragradient: General Analysis and Improved Rates

Stochastic Extragradient: General Analysis and Improved Rates This repository is the official implementation of the paper "Stochastic Extragradient: G

Hugo Berard 4 Nov 11, 2022