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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:Openai Openai node Realtime Conversation
- Workflow:Openai Whisper Language Detection And Decoding
- Workflow:MaterializeInc Materialize CI Pipeline Generation
- Workflow:Microsoft Playwright AI agent driven testing
- Workflow:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:Risingwavelabs Risingwave CDC Data Replication
- Workflow:BerriAI Litellm Observability Integration
- Workflow:Romsto Speculative Decoding Speculative Decoding Inference
- Workflow:Tensorflow Serving Model Export And Serving
Principles
- Principle:SeleniumHQ Selenium Grid Deployment Topology
- Principle:Sail sg LongSpec Prompt Formatting
- Principle:Ggml org Llama cpp ModelArchitecture
- Principle:Avhz RustQuant Root Finding
- Principle:Kubeflow Pipelines Data Format Conversion
- Principle:Interpretml Interpret Model Aggregation And Postprocessing
- Principle:ARISE Initiative Robosuite Omniverse Rendering
- Principle:Apache Shardingsphere SQL Statement Interception
- Principle:Huggingface Peft Cosine Similarity Contrastive Training
- Principle:Anthropics Anthropic sdk python Automated Tool Loop
Implementations
- Implementation:ContextualAI HALOs Dataset Loaders
- Implementation:Infiniflow Ragflow MetadataConstants
- Implementation:Run llama Llama index Download Dataset
- Implementation:Evidentlyai Evidently Legacy Words Descriptor
- Implementation:Openai Openai node Containers Resource
- Implementation:Apache Flink SingleThreadMultiplexSourceReaderBase
- Implementation:Interpretml Interpret Avx512f 32
- Implementation:Infiniflow Ragflow SearchService Update By Id
- Implementation:Apache Flink GeneratorFunction
- Implementation:Tensorflow Tfjs CPU Conv3D Kernel
Heuristics
- Heuristic:Getgauge Taiko Navigation Wait Strategy
- Heuristic:Google deepmind Mujoco MJX Feature Compatibility
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Microsoft Autogen Graph Validation Rules
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:Langchain ai Langgraph Deprecation Migration Guide
- Heuristic:Langgenius Dify API Token Single Flight Caching
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:Unstructured IO Unstructured Multi Python Matrix
- Heuristic:Protectai Modelscan Stricter Zip Detection
Environments
- Environment:Elevenlabs Elevenlabs python Python Websockets
- Environment:FlagOpen FlagEmbedding GPU Accelerator Environment
- Environment:Kubeflow Kubeflow Python KFP SDK Environment
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:Marker Inc Korea AutoRAG Vector Database Backends
- Environment:Sktime Pytorch forecasting Cpflows MQF2 Dependencies
- Environment:Kserve Kserve VLLM Runtime
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Openai Whisper PyTorch CUDA
- Environment:SeldonIO Seldon core GPU Inference Environment