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Top 23 Jupyter Notebook reinforcement-learning Projects
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FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize ๐ฅ We release the trained model on HuggingFace.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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amazon-sagemaker-examples
Example ๐ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐ง Amazon SageMaker.
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Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning (by andri27-ts)
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Project mention: Early Feedback on โBuild a Reasoning Model (From Scratch)โ | dev.to | 2025-09-07
Source code of the book: https://github.com/rasbt/reasoning-from-scratch
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alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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Open Spaced Repetition. FSRS4Anki โ Free Spaced Repetition Scheduler. github.com/open-spaced-repetition/fsrs4anki โ Open-source optimizer and benchmark data.
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TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
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Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
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Nemotron
Developer Asset Hub for NVIDIA Nemotron โ A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
Project mention: Nemotron 3 Ultra went live June 4. Here's the call that works. | dev.to | 2026-06-18Once you have a working call, the deeper value is post-training and orchestration. The NVIDIA-NeMo/Nemotron repo exposes the full Pretrain โ SFT โ RL pipeline; teams building domain-specific variants should start with the SFT recipe under training/ and the usage-cookbook/ for tool-calling and RAG patterns. NVIDIA's recommended topology keeps cost down: use Ultra as the planner/reasoner for hard coding or research steps, and route cheaper Nano or Super sub-agents for perception, routing, and summarization (source: DataCamp, 2026).
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tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
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TextWorld
โTextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
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Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
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Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
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reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Jupyter Notebook reinforcement-learning discussion
Jupyter Notebook reinforcement-learning related posts
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Practical RL (Yandex Data School)
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trading-bot: Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper py
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TradeMaster: NEW Deep Learning And Reinforcement Learning - star count:910.0
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TradeMaster: NEW Deep Learning And Reinforcement Learning - star count:910.0
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TradeMaster: NEW Deep Learning And Reinforcement Learning - star count:910.0
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TradeMaster: NEW Deep Learning And Reinforcement Learning - star count:910.0
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TradeMaster: NEW Deep Learning And Reinforcement Learning - star count:910.0
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jul 2026
Index
What are some of the best open-source reinforcement-learning projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | FinGPT | 20,824 |
| 2 | amazon-sagemaker-examples | 10,971 |
| 3 | TensorFlow-Tutorials | 9,263 |
| 4 | Practical_RL | 6,534 |
| 5 | Reinforcement-Learning | 4,721 |
| 6 | reasoning-from-scratch | 4,703 |
| 7 | alpha-zero-general | 4,471 |
| 8 | fsrs4anki | 3,997 |
| 9 | Andrew-NG-Notes | 3,730 |
| 10 | ml-course | 3,493 |
| 11 | brax | 3,202 |
| 12 | TradeMaster | 2,748 |
| 13 | Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions | 2,419 |
| 14 | drl-zh | 2,291 |
| 15 | Nemotron | 1,656 |
| 16 | hands-on-rl | 1,558 |
| 17 | tensor-house | 1,435 |
| 18 | TextWorld | 1,427 |
| 19 | rl_games | 1,366 |
| 20 | Popular-RL-Algorithms | 1,345 |
| 21 | Hands-On-Meta-Learning-With-Python | 1,228 |
| 22 | trading-bot | 1,155 |
| 23 | reinforcement_learning_course_materials | 1,136 |