Source code for Twitter's Recommendation Algorithm

Visualizations for machine learning datasets

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Deep Reinforcement Learning by using Truly Proximal Policy Optimization in Tensorflow 2 and Pytorch

Open source code for AlphaFold 2.

Deep Q-learning driven stock trader bot

Highly Modular and Scalable Reinforcement Learning

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Compiler for Neural Network hardware accelerators

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

PFRL: a PyTorch-based deep reinforcement learning library

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

A deep learning model for Financial Signal Representation and Trading

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

Lecture Notes on Design & Analysis of Experiments

A bestiary of evolutionary, swarm and other metaphor-based algorithms

Data Science Tutorials

Main development repository for TinyOS (an OS for embedded, wireless devices).