A beautiful, simple, clean, and responsive Jekyll theme for academics

Explainable Machine Learning through Contextual Importance and Utility

Resources and student assignments for the WASP Software Engineering course

Acceptance rates for the major AI conferences

An open-source NLP research library, built on PyTorch.

A collection of research materials on explainable AI/ML

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

💎 A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.

OpenNARS for Research 3.0+

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Convert matplotlib figures to TikZ/PGFplots for smooth integration into LaTeX.

Streamlit — The fastest way to build data apps in Python

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

A Python package implementing a new model for text classification with visualization tools for Explainable AI

⏰ AI conference deadline countdowns

Explanation Ontology Resource website

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)