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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:Nightwatchjs Nightwatch Component Testing
- Workflow:Elevenlabs Elevenlabs python Realtime TTS Streaming
- Workflow:Dotnet Machinelearning Text Classification
- Workflow:Cohere ai Cohere python Text Embedding
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Zai org CogVideo SAT Finetuning
- Workflow:Ollama Ollama OpenAI API Compatibility
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:NVIDIA TransformerEngine Comm GEMM Overlap Training
- Workflow:Alibaba ROLL Reward Flow Diffusion Pipeline
Principles
- Principle:Vespa engine Vespa Artifact Signing and Publishing
- Principle:Allenai Open instruct Reward Verification
- Principle:Eric mitchell Direct preference optimization Hydra Configuration
- Principle:NVIDIA DALI Image Decoding
- Principle:Astronomer Astronomer cosmos Dbt Documentation Generation
- Principle:Ray project Ray Cross Language Deserialization
- Principle:AUTOMATIC1111 Stable diffusion webui Sampling Architecture
- Principle:Marker Inc Korea AutoRAG Best Config Extraction
- Principle:Microsoft Agent framework Chat Client Configuration
- Principle:Tensorflow Serving Multi Version Export
Implementations
- Implementation:Run llama Llama index IngestionPipeline Init
- Implementation:SqueezeAILab ETS Tree Expand
- Implementation:PacktPublishing LLM Engineers Handbook TrainTestSplit To Huggingface
- Implementation:Huggingface Datatrove MimeTypeFilter
- Implementation:Kornia Kornia BoxMOT Tracker
- Implementation:Fastai Fastbook Feature Importances
- Implementation:OpenGVLab InternVL LLaVA Controller
- Implementation:Speechbrain Speechbrain Prepare Common Voice
- Implementation:Langchain ai Langgraph Langgraph Build Command
- Implementation:Arize ai Phoenix HallucinationEvaluator
Heuristics
- Heuristic:OpenGVLab InternVL Dynamic Resolution Tiling
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
- Heuristic:Roboflow Rf detr Layer Wise LR Decay
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Onnx Onnx Big Endian Byte Order Handling
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Mlflow Mlflow Batch Logging Size Limits
- Heuristic:ARISE Initiative Robomimic HDF5 Cache Mode Selection
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
Environments
- Environment:Openai Openai node WebSocket Dependency
- Environment:Datajuicer Data juicer Ray Cluster Environment
- Environment:Mlc ai Mlc llm TVM Runtime Environment
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment
- Environment:Sgl project Sglang OpenAI
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:Protectai Llm guard ONNX Runtime Acceleration
- Environment:MarketSquare Robotframework browser CI GitHub Actions
- Environment:Dotnet Machinelearning TorchSharp Environment