Flax is a neural network library for JAX that is designed for flexibility.

LeanRL is a fork of CleanRL, where selected PyTorch scripts optimized for performance using compile and cudagraphs.

A machine learning compiler for GPUs, CPUs, and ML accelerators

Sample models for the PhysiCell grammar / rules paper

Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences like DNA (enhancers) and RNA (UTRs) design.

An extremely fast Python package and project manager, written in Rust.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

A new markup-based typesetting system that is powerful and easy to learn.

Implementation of Alphafold 3 in Pytorch

A high-performance algorithmic trading platform and event-driven backtester

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Simple single-file baselines for Q-Learning in pure-GPU setting

Lighter web automation with Python

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

A library of reinforcement learning components and agents

An offline deep reinforcement learning library

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

A Unified Toolkit for Deep Learning Based Document Image Analysis

Mamba SSM architecture

Libs RL

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…

Google Research

Tinder web scraping bot to auto-swipe and auto-message matches.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

python3 physicell data output loader.