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A curated list of community detection research papers with implementations.
Simple and easily configurable grid world environments for reinforcement learning
A toolkit for reproducible reinforcement learning research.
Automatically "block" people in images (like Black Mirror) using a pretrained neural network.
Hyper-parameter optimization for sklearn
Automated deep learning algorithms implemented in PyTorch.
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Measuring Massive Multitask Language Understanding | ICLR 2021
Metric learning algorithms in Python
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
Kalman Filter, Smoother, and EM Algorithm for Python
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Solved algorithms and data structures problems in many languages
Command line interface used by all WakaTime text editor plugins.
Hardware accelerated, batchable and differentiable optimizers in JAX.
ML Collections is a library of Python Collections designed for ML use cases.
Math & CS Awesome List, distinguished by proof and logic and technique
An open source python library for scalable Bayesian optimisation.
Wavelet scattering transforms in Python with GPU acceleration
A starting point for developing your own plug-in for Auto-GPT
a distributed Hyperband implementation on Steroids