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Curated list of CS video courses
Deep learning paper implementations with side-by-side notes and explanations
Fine-tuning & RL for LLMs with optimized performance and memory use
Ray is a unified framework for scaling AI and Python applications with distributed computing and ML libraries.
Curated resources for data science and machine learning in production
Interactive deep learning book with code and math
High-performance serving framework for large language and multimodal models
Reinforcement Learning implementations and exercises for Python developers
An open-source toolkit for training intelligent agents using deep reinforcement learning and imitation learning in Unity games and simulations.
FinGPT is an open-source financial large language model that can be used for various fintech applications.
A library of deep learning models and datasets to make deep learning more accessible and accelerate ML research.
A tutorial on deep learning by renowned professor Li Hongy, covering a wide range of AI and machine learning topics.
A comprehensive machine learning library in Python with implementations of various algorithms and models.
A lightweight AI agent trainer for building agentic AI models.
Mathematical Foundations of Reinforcement Learning book in MATLAB
Python implementation of the reinforcement learning concepts from the classic textbook.
Bullet Physics SDK is a real-time collision detection and multi-physics simulation library for VR, games, robotics and more.
A comprehensive Chinese tutorial on reinforcement learning, with implementations of popular RL algorithms.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Reliable PyTorch implementations of reinforcement learning algorithms for AI and robotics applications.
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