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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
Explore Pages
Workflows
- Workflow:Nightwatchjs Nightwatch Custom Commands And Assertions
- Workflow:Alibaba ROLL Supervised Finetuning Pipeline
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Microsoft Playwright Browser automation CLI
- Workflow:OpenHands OpenHands SaaS Server Assembly
- Workflow:Huggingface Peft LoRA Embedding Semantic Search
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:Duckdb Duckdb Building From Source
- Workflow:Cohere ai Cohere python Tool Use Agentic Chat
- Workflow:Predibase Lorax Structured JSON Output
Principles
- Principle:Apache Hudi Clustering Commit
- Principle:Iamhankai Forest of Thought Tree of Thought Search
- Principle:Roboflow Rf detr Model Deployment
- Principle:Fastai Fastbook Feature Importance
- Principle:Google deepmind Mujoco Restrict Optimization
- Principle:ChenghaoMou Text dedup False Positive Verification SimHash
- Principle:Deepspeedai DeepSpeed SP Data Preparation
- Principle:Langgenius Dify Node Composition
- Principle:PacktPublishing LLM Engineers Handbook HuggingFace Dataset Publishing
- Principle:Huggingface Diffusers Training Model Loading
Implementations
- Implementation:Datajuicer Data juicer ImageAspectRatioFilter
- Implementation:TobikoData Sqlmesh Metadata Component
- Implementation:Openai Openai python Response Custom Tool Call Input Delta
- Implementation:BerriAI Litellm Provider Endpoints Support
- Implementation:Danijar Dreamerv3 Combined Launcher
- Implementation:Apache Flink BulkDecodingFormat
- Implementation:Mistralai Client python Mistral Init
- Implementation:ArroyoSystems Arroyo Pipeline Graph
- Implementation:SeleniumHQ Selenium Closure Promise
- Implementation:Groq Groq python Model Type
Heuristics
- Heuristic:Mlc ai Mlc llm BLAS Dispatch Decision
- Heuristic:Microsoft DeepSpeedExamples RLHF Hyperparameter Guide
- Heuristic:AnswerDotAI RAGatouille In Memory Reranking Limits
- Heuristic:PacktPublishing LLM Engineers Handbook Dataset Generation Quality Filters
- Heuristic:Romsto Speculative Decoding Shared Tokenizer Requirement
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
- Heuristic:Elevenlabs Elevenlabs python VAD vs Manual Commit Strategy
- Heuristic:Apache Dolphinscheduler JDBC Security Blocklist
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
Environments
- Environment:Google deepmind Dm control GLFW Desktop Rendering
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Openai CLIP Python Dependencies
- Environment:Sail sg LongSpec Inference Environment
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Groq Groq python Python Groq SDK
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:Fastai Fastbook Jupyter Notebook Environment