Go microservice template for Kubernetes
- golang
- microservice
- kubernetes
- helm
Repository Index
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Translatedk8s tutorials
An awesome & curated list of best LLMOps tools for developers
- awesome-list
- mlops
- ai-development-tools
- llmops
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
Implement a reasoning LLM in PyTorch from scratch, step by step
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
- course
- large-language-model
- llm
- python
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Notebooks for learning deep learning
TranslatedAwesome Pretrained Chinese NLP Models, a collection of high-quality Chinese pretrained models, large models, multimodal models, and large language models
- chinese
- nlp
- pretrained-models
- bert
Real-time webcam demo with SmolVLM and llama.cpp server
134+ free LLM APIs & AI API keys from 40+ providers. Google Gemini, NVIDIA NIM, Groq, OpenRouter & more. One-click setup for Claude Code, Cursor and Codex.
- freellm
- freellmapi
- free-llm-api
- free-llm-resources
📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉
- flash-attention
- paged-attention
- tensorrt-llm
- vllm
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.
Python Koans - Learn Python through TDD
- python
- koans
TranslatedHermes Agent from Beginner to Expert · Orange Book Series · A Practical Guide to Nous Research's Open-Source AI Agent Framework
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
- llm
- reinforcement-learning
- algorithm
- nlp-machine-learning
Zep | Examples, Integrations, & More
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
- agent
- agentic
- agentic-ai
- agentic-rl
Curated list of datasets and tools for post-training.
TranslatedThis is a step-by-step guide to getting started with AI/LLM large models, including tutorials and demo code, taking you from APIs to local large model deployment and fine-tuning. The code files come with Kaggle or Colab online versions, so you can learn even without a graphics card. The project also has a small code playground 🎡 where you can try out some interesting AI scripts. It also includes complete Chinese mirror assignments for Hung-Yi Lee's (HUNG-YI LEE) 2024 Introduction to Generative AI course.