AI4Finance-Foundation / FinRL
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
AI4Finance-Foundation / FinRL
stefan-jansen / machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
walkinglabs / hands-on-modern-rl
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
NVIDIA-NeMo / Nemotron
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
rasbt / reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
AI4Finance-Foundation / FinGPT
Open-source large language models and tooling for financial tasks such as sentiment analysis, forecasting, and robo-advisory.
Denys88 / rl_games
RL implementations
simpler-env / SimplerEnv
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
girafe-ai / ml-course
Open Machine Learning course
yandexdataschool / Practical_RL
A course in reinforcement learning in the wild
google / brax
Massively parallel rigidbody physics simulation on accelerator hardware.
facebookresearch / Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
huawei-noah / HEBO
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
microsoft / TextWorld
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
RajatDandekar / build-a-world-model-from-scratch
Build a World Model from Scratch — the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
yuxiangh383 / rl-interval-estimation
Multi-agent reinforcement learning in a macroeconomic environment, with V-learning and bootstrap confidence intervals for government policy parameters.
aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.