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
Official Implementation of CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback

CoSMo.pytorch Official Implementation of CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback, Seungmin Lee*, Dongwan Kim*, Bohyung

Seung Min Lee 54 Dec 08, 2022
《Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching》(CVPR 2020)

This contains the codes for cross-view geo-localization method described in: Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching, CVPR2020.

41 Oct 27, 2022
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au

14 Nov 28, 2022
Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation

FLAME Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation, accepted at the 17th IEEE Internation Co

Neelabh Sinha 19 Dec 17, 2022
「PyTorch Implementation of AnimeGANv2」を用いて、生成した顔画像を元の画像に上書きするデモ

AnimeGANv2-Face-Overlay-Demo PyTorch Implementation of AnimeGANv2を用いて、生成した顔画像を元の画像に上書きするデモです。

KazuhitoTakahashi 21 Oct 18, 2022
Composable transformations of Python+NumPy programsComposable transformations of Python+NumPy programs

Chex Chex is a library of utilities for helping to write reliable JAX code. This includes utils to help: Instrument your code (e.g. assertions) Debug

DeepMind 506 Jan 08, 2023
darija <-> english dictionary

darija-dictionary Having advanced IT solutions that are well adapted to the Moroccan context passes inevitably through understanding Moroccan dialect.

DODa 102 Jan 01, 2023
A package, and script, to perform imaging transcriptomics on a neuroimaging scan.

Imaging Transcriptomics Imaging transcriptomics is a methodology that allows to identify patterns of correlation between gene expression and some prop

Alessio Giacomel 10 Dec 27, 2022
Information Gain Filtration (IGF) is a method for filtering domain-specific data during language model finetuning. IGF shows significant improvements over baseline fine-tuning without data filtration.

Information Gain Filtration Information Gain Filtration (IGF) is a method for filtering domain-specific data during language model finetuning. IGF sho

4 Jul 28, 2022
SeqAttack: a framework for adversarial attacks on token classification models

A framework for adversarial attacks against token classification models

Walter 23 Nov 25, 2022
Yolo object detection - Yolo object detection with python

How to run download required files make build_image make download Docker versio

3 Jan 26, 2022
Vision transformers (ViTs) have found only limited practical use in processing images

CXV Convolutional Xformers for Vision Vision transformers (ViTs) have found only limited practical use in processing images, in spite of their state-o

Cloudwalker 23 Sep 10, 2022
Fashion Entity Classification

Fashion-Entity-Classification - Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grays

ADITYA SHAH 1 Jan 04, 2022
PyGCL: Graph Contrastive Learning Library for PyTorch

PyGCL: Graph Contrastive Learning for PyTorch PyGCL is an open-source library for graph contrastive learning (GCL), which features modularized GCL com

GCL: Graph Contrastive Learning Library for PyTorch 594 Jan 08, 2023
code for paper"A High-precision Semantic Segmentation Method Combining Adversarial Learning and Attention Mechanism"

PyTorch implementation of UAGAN(U-net Attention Generative Adversarial Networks) This repository contains the source code for the paper "A High-precis

Tong 8 Apr 25, 2022
A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).

TADDY: Anomaly detection in dynamic graphs via transformer This repo covers an reference implementation for the paper "Anomaly detection in dynamic gr

Yue Tan 21 Nov 24, 2022
mlpack: a scalable C++ machine learning library --

a fast, flexible machine learning library Home | Documentation | Doxygen | Community | Help | IRC Chat Download: current stable version (3.4.2) mlpack

mlpack 4.2k Jan 09, 2023
VoxHRNet - Whole Brain Segmentation with Full Volume Neural Network

VoxHRNet This is the official implementation of the following paper: Whole Brain Segmentation with Full Volume Neural Network Yeshu Li, Jonathan Cui,

Microsoft 12 Nov 24, 2022
Geneva is an artificial intelligence tool that defeats censorship by exploiting bugs in censors

Geneva is an artificial intelligence tool that defeats censorship by exploiting bugs in censors

Kevin Bock 1.5k Jan 06, 2023