__init__

action-ros-ci

Github Action to build and test ROS 2 packages using colcon

autobrains

automl

computer-vision

Deep Learning implementations using PyTorch

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

deep-rl-class

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

deeplense

deeplense_transformer_ssl

Self-Supervised Learning

discordbot

explainableai

Feature assessment and importance of Machine Learning Models using SHAP and CXPlain libraries

fastapi

garage

A toolkit for reproducible reinforcement learning research.

gsoc-2022

Solution for evaluation tests for GSoC 2022

ml4sci.github.io

Machine Learning for Science github site

nn

🧠 Minimal implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

presentx

GPT-3 Based Latex Code Presentation Maker.

python-collab-template

🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.

reinforcement-learning

Implementations of Reinforcement Learning algorithms

rl-reliability-metrics

The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as well as statistical tools for comparing algorithms and for computing confidence intervals on these metrics.

rliable

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

rlkit

Collection of reinforcement learning algorithms

sachdevkartik

self-attention-cv

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

sfp

Official code release for TMLR 2022 paper SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning

sit

Self-supervised image Transformer (SiT)

transformers

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