Azeddine Bouabdallah's repositories
azure-functions-core-tools
Command line tools for Azure Functions
copilot-docs
Documentation for GitHub Copilot
CyGNet
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
dain
Deep Adaptive Input Normalization for Time Series Forecasting
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
discoverx
Provides multi-table operations (scanning, classification, vacuum, etc.) without having to know the schema.
Exparser
This project is dedicated to the task of citation extraction and segmentation in EXCITE
GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
git-notify
🙉 📣 Communicate important updates to your team via git commit messages
MAX-Object-Detector
Localize and identify multiple objects in a single image.
motion
Open source, production-ready animation and gesture library for React
NGC-Lightning-Grid-Workshop
A workshop that walks through how to get started with Grid, NGC and PyTorch Lightning to supercharge deep learning.
PyEng
Python for engineers
react-virtualized
React components for efficiently rendering large lists and tabular data
search-tweets-python
Python client for the Twitter search endpoints (v2/Labs/premium/enterprise). Now supports Twitter API v2 /recent and /all search endpoints.
sktime
A unified framework for machine learning with time series
TLT-KGE
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
TweetScraper
TweetScraper is a simple crawler/spider for Twitter Search without using API
Twitter-API-v2-sample-code
Sample code for the Twitter API early access endpoints (Python, Java, Ruby, and Node.js).
vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
vision
Datasets, Transforms and Models specific to Computer Vision
visualbert
Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"