🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A collection of useful .gitignore templates

Season 3 of @twosigma's artificial intelligence programming challenge

A GUI app for creating symlinks, based on mklink

Visualizations based on best open science practices.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

A code repository designed to show the best GitHub has to offer.

Rust Bootcamp week 1: Set up you Rust development environment

Open source documentation of Microsoft Azure

Source code for Twitter's Recommendation Algorithm

Advanced Signal Processing Notebooks and Tutorials

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

🏅 Collection of Kaggle Solutions and Ideas 🏅

Machine Learning for Audio Signals in Python

Multi-class confusion matrix library in Python

For an introductory tutorial on how to use Jenkins to build a simple Python application with PyInstaller.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Code execution for the NOAA MagNet: Model the Geomagnetic Field competition.

Statistics & Analysis for the Halite III AI competition during 2018

📝 An awesome Data Science repository to learn and apply for real world problems.

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

Stream feed from Twitter to EventHub

Introduction to Python for Data Science for PyCon 2018

Generated python code analysing time series and extracting patterns from it.