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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:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:OpenHands OpenHands SaaS Server Assembly
- Workflow:OpenRLHF OpenRLHF Reward Model Training
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Explodinggradients Ragas Prompt Evaluation And Iteration
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:Dotnet Machinelearning GenAI Causal LM Inference
- Workflow:Anthropics Anthropic sdk python Extended Thinking Reasoning
- Workflow:Webdriverio Webdriverio Cucumber BDD Testing
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
Principles
- Principle:OpenRLHF OpenRLHF Dataset Blending
- Principle:Openclaw Openclaw Binding Configuration
- Principle:Apache Beam Execution Monitoring
- Principle:Dagster io Dagster Materialization Metadata
- Principle:Langchain ai Langgraph Chatbot Simulation Evaluation
- Principle:Avdvg InjectGuard Embedding Model Initialization
- Principle:Getgauge Taiko Code Generation
- Principle:Mlc ai Web llm Extension Client Engine
- Principle:Datahub project Datahub Emitter Lifecycle
- Principle:Langchain ai Langgraph Graph Instantiation
Implementations
- Implementation:MaterializeInc Materialize Composition Sql Testdrive
- Implementation:Ray project Ray Sphinx Callouts Extension
- Implementation:Huggingface Optimum BaseOptimumCLICommand
- Implementation:Lance format Lance Java VectorIndexParams
- Implementation:Mlc ai Mlc llm Request Header
- Implementation:PrefectHQ Prefect To Dataframe Task
- Implementation:FlagOpen FlagEmbedding AbsEvalArgs Configuration
- Implementation:FlagOpen FlagEmbedding LLM Reranker Instruction Data
- Implementation:Turboderp org Exllamav2 RoPE
- Implementation:Microsoft DeepSpeedExamples BingBertSquad Training Utils
Heuristics
- Heuristic:Apache Airflow Scheduler Performance Tuning
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:Testtimescaling Testtimescaling github io Persist Credentials False
- Heuristic:Sdv dev SDV HMA Schema Simplification
- Heuristic:LMCache LMCache Memory Fragmentation Budget
- Heuristic:Kserve Kserve Server Side Apply For CRDs
- Heuristic:Princeton nlp SimPO Multi Seed Diversity
- Heuristic:Isaac sim IsaacGymEnvs GPU Pipeline Selection
- Heuristic:Pola rs Polars Collect All For Diverging Queries
- Heuristic:Langchain ai Langchain Text Splitter Separator Hierarchy
Environments
- Environment:Apache Hudi Flink Runtime Environment
- Environment:Apache Dolphinscheduler ZooKeeper Registry
- Environment:Interpretml Interpret Native Libebm Environment
- Environment:Bitsandbytes foundation Bitsandbytes Build From Source Environment
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Kserve Kserve Istio Service Mesh
- Environment:Infiniflow Ragflow Data Source Credentials
- Environment:OpenRLHF OpenRLHF Ray Distributed Environment
- Environment:CarperAI Trlx Python Accelerate
- Environment:ArroyoSystems Arroyo Kubernetes Deployment