Lists (3)
Stars
Build reliable Gen AI solutions without overhead 🍕
an open high-performance Optical Character Recognition (OCR) toolkit
SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms
A markdown version emoji cheat sheet
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
GEKKO Python for Machine Learning and Dynamic Optimization
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)
Reinforcement Learning tool for Network Slice Placement problems
This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically ground…
Advanced Python Mastery (course by @dabeaz)
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
A toolkit for developing and comparing reinforcement learning algorithms.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Prioritized Experience Replay implementation with proportional prioritization
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
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
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An educational resource to help anyone learn deep reinforcement learning.
This repository contains a race simulation to determine a race strategy for motorsport circuit races. Race strategy in this context means the determination of pit stops.
List of companies/universities lab that might offers Internships in the Reinforcement Learning field
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.