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mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

modular_rl

Implementation of TRPO and related algorithms

morld

ns3-gym

ns3-gym - The Playground for Reinforcement Learning in Networking Research

parametersharingmadrl

pettingzoo

Gym for multi-agent reinforcement learning

phasic-policy-gradient

Code for the paper "Phasic Policy Gradient"

profold

A protein 3D structure prediction application

proteinnet

Standardized data set for machine learning of protein structure

prottrans

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

rainbow_ddpg

ray

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 hyperparameter tuning library.

reinforcement-learning

A small reinforcement learning library for my masters dissertation project

robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

spinningup

An educational resource to help anyone learn deep reinforcement learning.

survey_ai_drug_discovery

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.