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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:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:Microsoft Autogen Studio Team Deployment
- Workflow:Datahub project Datahub Spark Lineage Capture
- Workflow:Sail sg LongSpec Speculative Decoding Inference
- Workflow:Langchain ai Langgraph Functional API Workflow
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:Explodinggradients Ragas Test Data Generation
- Workflow:NVIDIA NeMo Curator Video Curation Pipeline
- Workflow:MarketSquare Robotframework browser Browser Test Authoring
Principles
- Principle:Microsoft Onnxruntime Tensor Construction
- Principle:FlagOpen FlagEmbedding Dense Retrieval
- Principle:Eric mitchell Direct preference optimization DPO Loss
- Principle:Langgenius Dify Retrieval Configuration
- Principle:Ggml org Llama cpp PublicAPI
- Principle:Apache Beam Element Bundling
- Principle:LaurentMazare Tch rs Seq2Seq Dataset Loading
- Principle:Trailofbits Fickling Safety Verification
- Principle:Lakeraai Pint benchmark HF Model Wrapping
- Principle:Anthropics Anthropic sdk python Multi turn Conversation Management
Implementations
- Implementation:Huggingface Datasets Datasets CLI
- Implementation:Infiniflow Ragflow DialogService Update KB Selection
- Implementation:Apache Paimon ConfigOption
- Implementation:Kserve Kserve HuggingFace Multinode Runtime
- Implementation:ArroyoSystems Arroyo State Tables
- Implementation:Datahub project Datahub SaveIntoDataSourceCommandVisitor
- Implementation:Avhz RustQuant PowerOption
- Implementation:Sktime Pytorch forecasting MQF2 Utils
- Implementation:Explodinggradients Ragas Dataset Constructor
- Implementation:Iterative Dvc Update Meta
Heuristics
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
- Heuristic:Sdv dev SDV Version Compatibility
- Heuristic:InternLM Lmdeploy KV Cache Memory Tuning
- Heuristic:Tensorflow Tfjs Memory Management With Tidy
- Heuristic:Lance format Lance Vector Index Tuning
- Heuristic:AUTOMATIC1111 Stable diffusion webui GTX 16 Series FP16 Workaround
- Heuristic:Avhz RustQuant Learning Rate Tuning
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:Norrrrrrr lyn WAInjectBench NaN Inf Fallback FP32 Recovery
Environments
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Huggingface Diffusers Training Environment
- Environment:Lance format Lance Python Environment
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:BerriAI Litellm Observability Stack
- Environment:Helicone Helicone Wrangler CLI
- Environment:Apache Spark Kubernetes Runtime
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:NVIDIA NeMo Curator Ray Cluster