Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
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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.
An educational resource to help anyone learn deep reinforcement learning.
TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
- reinforcement-learning
- tutorial
- q-learning
- sarsa
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
- agentic-coding
- ai-assistant
- ai-coding
- ai-pair-programming
Simple examples to introduce PyTorch
TranslatedA quick-start tutorial on PyTorch deep learning (absolutely easy to understand!)
- pytorch
- pytorch-tutorial
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
The process of extracting product data from Amazon using Python, including titles, ratings, prices, images, and descriptions.
- amazon
- amazon-scraper
- python
- web-scraper
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
- docker
- kubernetes
- minikube
- python
Lets Git started in the world of opensource, starting in the Zero To Mastery's opensource playground. Especially designed for education and practical experience purposes.
- getting-started
- giting-started
- opensource-intro
A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.
Reproducing and studying RL algorithms for LLM agents, including GRPO, GSPO, DAPO, OPD, Search-R1, ReTool, ALFWorld and beyond.
- agent-rl
- dapo
- gspo
- opd
Bringing thousands of learners together to unpack DeepInfer through peer-reviewed explanations, documentation, and hands-on examples.
TranslatedMultimodal retrieval in practice: intent recognition, prompt engineering, Qwen LoRA, EmbeddingGemma 2, and InfoNCE contrastive learning. Includes real demos, integration of your own data, training and evaluation, and a learning guide to RAG retrieval components.
- clip
- ecommerce
- image-retrieval
- image-search