Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
- deep-reinforcement-learning
- qlearning
- deep-learning
- tensorflow-tutorials
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Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
repository to research & share the machine learning articles
This is Andrew NG Coursera Handwritten Notes.
Minimal and Clean Reinforcement Learning Examples
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Intro to Reinforcement Learning (强化学习纲要)
Open Machine Learning course
Classic papers and resources on recommendation
TranslatedAI fundamentals - knowledge of GPU architecture, CUDA programming, large model basics, and AI Agents.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Carefully curated resource links for data science in one place
:satellite: Organized Resources for Deep Learning Researchers and Developers
Awesome free machine learning and AI courses with video lectures.
Hands-on Deep Reinforcement Learning, published by Packt
Quantitative analysis, strategies and backtests
Deep Learning and deep reinforcement learning research papers and some codes
🤖 Machine Learning Summer School Guide
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
General Resources for Competitive Programming
Implementation of papers in 100 lines of code.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
A collection of easy-to-digest code examples for Lightning Web Components on Salesforce Platform
Simple and comprehensive tutorials in TensorFlow
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).