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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 |
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Workflows
- Workflow:Google deepmind Dm control Control Suite RL Training
- Workflow:Mistralai Client python Chat Completion
- Workflow:Teamcapybara Capybara Element Finding And Interaction
- Workflow:Rapidsai Cuml Time Series Forecasting
- Workflow:Apache Kafka Docker Image Release
- Workflow:Duckdb Duckdb Code Generation Pipeline
- Workflow:Unslothai Unsloth Model Export And Deployment
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
- Workflow:Allenai Open instruct SFT Finetuning
Principles
- Principle:Alibaba MNN Weight Quantization
- Principle:Interpretml Interpret APLR Regression
- Principle:Snorkel team Snorkel Spark Mapper Adaptation
- Principle:Guardrails ai Guardrails Server Config Scaffolding
- Principle:Google deepmind Mujoco API Utilities
- Principle:Guardrails ai Guardrails StreamingValidation
- Principle:Bigscience workshop Petals Block Selection
- Principle:OWASP Www project top 10 for large language model applications Community Candidate Submission
- Principle:Sdv dev SDV Metadata Detection
- Principle:Huggingface Trl Reward Model Training
Implementations
- Implementation:Open compass VLMEvalKit Track Progress Rich
- Implementation:Hiyouga LLaMA Factory API Chat
- Implementation:Apache Shardingsphere MetaDataPersistFacade Constructor
- Implementation:Astronomer Astronomer cosmos DbtDocsLocalOperator Execute
- Implementation:Risingwavelabs Risingwave MySqlDialect
- Implementation:Microsoft Agent framework Executor Base Class
- Implementation:CARLA simulator Carla World Get Random Location From Navigation
- Implementation:Online ml River Sketch Histogram
- Implementation:Datahub project Datahub Docusaurus Config
- Implementation:Scikit learn Scikit learn OptimizeUtils
Heuristics
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Dotnet Machinelearning LDA Thread Reservation
- Heuristic:Neuml Txtai MacOS Stability Workarounds
- Heuristic:Mage ai Mage ai Record Deduplication Before Batch Export
- Heuristic:MaterializeInc Materialize Pipeline Test Trimming Rules
- Heuristic:Rapidsai Cuml Dask Data Partitioning
- Heuristic:Puppeteer Puppeteer Mac Silicon Performance
- Heuristic:Tensorflow Serving Warning Deprecated CreateTfrtSavedModel Raw
- Heuristic:Zai org CogVideo LoRA Configuration Tips
- Heuristic:Allenai Open instruct Polyak Reference Update
Environments
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:Apache Paimon Python Core Runtime
- Environment:Apache Druid Integration Test Docker
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Sgl project Sglang GitHub Actions
- Environment:Langchain ai Langgraph Docker Deployment Environment
- Environment:Truera Trulens Python Core Environment
- Environment:Alibaba MNN GPU Metal Environment
- Environment:Ray project Ray Docker GPU Environment
- Environment:Farama Foundation Gymnasium JAX Functional Backend