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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:Princeton nlp Tree of thought llm ToT BFS experiment
- Workflow:Togethercomputer Together python Fine Tuning
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:Cleanlab Cleanlab Token Classification Label Quality
- Workflow:Openai Openai node Structured Output Parsing
- Workflow:Norrrrrrr lyn WAInjectBench LLaVA Finetuning
- Workflow:Triton inference server Server Quickstart Model Deployment
- Workflow:Obss Sahi COCO Evaluation
- Workflow:Huggingface Diffusers Model Quantization
- Workflow:Unslothai Unsloth GRPO Reinforcement Learning
Principles
- Principle:Microsoft Onnxruntime Distributed Data Loading
- Principle:Dotnet Machinelearning Text Featurization
- Principle:NVIDIA TransformerEngine Fused LayerNorm Linear
- Principle:Unslothai Unsloth MoE Grouped GEMM
- Principle:Helicone Helicone Environment Configuration
- Principle:Infiniflow Ragflow Embedding Generation
- Principle:MaterializeInc Materialize Composition Execution
- Principle:Microsoft Semantic kernel Vector Store Data Model
- Principle:EvolvingLMMs Lab Lmms eval PassAtK Evaluation
- Principle:Open compass VLMEvalKit Model Validation
Implementations
- Implementation:Sdv dev SDV Run Diagnostic
- Implementation:Googleapis Python genai LocalTokenizer
- Implementation:Apache Paimon TableUpdateByRowId
- Implementation:Datahub project Datahub Container Key Guid Generator
- Implementation:Fede1024 Rust rdkafka MockCluster Bootstrap Servers
- Implementation:MarketSquare Robotframework browser Selector Finder
- Implementation:Mlflow Mlflow Pyproject Configuration
- Implementation:Helicone Helicone GetMapperType
- Implementation:Online ml River Tree Splitter NominalReg
- Implementation:FlowiseAI Flowise DocStoreInputHandler
Heuristics
- Heuristic:Langchain ai Langchain Pydantic V2 Configuration Tips
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:Axolotl ai cloud Axolotl Attention Mechanism Selection
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:Sktime Pytorch forecasting Learning Rate Scheduling
- Heuristic:Dotnet Machinelearning Sparsity Threshold Optimization
- Heuristic:Obss Sahi Match Threshold Tuning
- Heuristic:OpenBMB UltraFeedback Position Bias Mitigation
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
Environments
- Environment:ArroyoSystems Arroyo Rust Runtime
- Environment:TobikoData Sqlmesh Snowflake Connection
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Obss Sahi Python Pycocotools
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Nautechsystems Nautilus trader Python Cython Rust Runtime
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:Lm sys FastChat SFT Training Environment