The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
PyTorch Tutorial for Deep Learning Researchers
- deep-learning
- pytorch-tutorial
- neural-networks
- pytorch
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
An educational resource to help anyone learn deep reinforcement learning.
TranslatedPython open-source project "The Road to Self-Taught Programming", with step-by-step tutorials for beginners: AI Lab, treasure videos, data structures, study guides, hands-on machine learning, hands-on deep learning, web crawlers, big-company interview experiences, programmer life, resource sharing.
- python3
- pytorch
- deeplearning
- deep-learning
Translated🚀 The most systematic crash course on AI Agents in 2026 | Agent hands-on tutorial · Complete learning path + hands-on projects + interview question bank · Aligned with LLM application development engineer job roles · Covers LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompts · Enterprise-grade deployment and fine-tuning · From 0 to enterprise-level implementation + from learning to launching projects + interview preparation, all in one
- agent
- aigc
- coze
- dify
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Deep Learning Tutorial notes and code. See the wiki for more info.
Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.
- agent-rl
- dapo
- gspo
- opd
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
TranslatedA basic tutorial for getting started with AI Agents from zero background. It is not just a tutorial but also an Agent that can run locally: read and write files, execute commands, MCP, long-term memory, with a built-in web interface to see every step clearly. Starting from a minimal 100-line loop, each lesson adds one capability, and in the end it breaks down mainstream Agents such as Claude Code and Codex
- agent
- ai-agent
- chinese
- claude-code
Deep Learning Resources and Tutorials using Keras and Lasagne
TranslatedBuild GPT-2 from scratch in PyTorch, step by step
- attention
- chinese
- deep-learning
- from-scratch
Bringing thousands of learners together to unpack DeepInfer through peer-reviewed explanations, documentation, and hands-on examples.