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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:Tensorflow Serving Batched Inference Pipeline
- Workflow:NVIDIA NeMo Curator Fuzzy Deduplication
- Workflow:Turboderp org Exllamav2 Text Generation
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:OpenHands OpenHands SaaS Server Assembly
- Workflow:Neuml Txtai Semantic Search
- Workflow:Scikit learn contrib Imbalanced learn SMOTE Resampling Pipeline
- Workflow:Haotian liu LLaVA LoRA Finetuning
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
Principles
- Principle:Microsoft Agent framework Workflow Agent Wrapping
- Principle:Farama Foundation Gymnasium Array Backend Conversion
- Principle:Trailofbits Fickling Benchmark Dataset Construction
- Principle:Scikit learn contrib Imbalanced learn Sphinx Documentation Configuration
- Principle:Kserve Kserve Authentication Integration
- Principle:SeleniumHQ Selenium Code Formatting Pipeline
- Principle:Huggingface Datasets Lance Dataset Building
- Principle:Kubeflow Pipelines XGBoost Model Prediction
- Principle:Tensorflow Serving Servable Access Pattern
- Principle:Explodinggradients Ragas Legacy Evaluation Pipeline
Implementations
- Implementation:Scikit learn contrib Imbalanced learn NeighbourhoodCleaningRule
- Implementation:NVIDIA TransformerEngine TE Autocast
- Implementation:Vespa engine Vespa FSA ABI Spec
- Implementation:Triton inference server Server SharedMemoryManager
- Implementation:Facebookresearch Habitat lab GuiNavigationHelper
- Implementation:CrewAIInc CrewAI LanceDB Adapter
- Implementation:InternLM Lmdeploy Core Math
- Implementation:Bentoml BentoML MonitorBase
- Implementation:Facebookresearch Habitat lab PacmanTrainer
- Implementation:Mlc ai Mlc llm Eagle Batch Draft
Heuristics
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:Vespa engine Vespa Warning Deprecated Cloud API Constructors
- Heuristic:Unstructured IO Unstructured Hi Res Model Configuration
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Microsoft Playwright Timeout Configuration Tips
- Heuristic:Astronomer Astronomer cosmos Static Parser Hang Workaround
- Heuristic:Langgenius Dify Credential Sanitization In API Responses
- Heuristic:Avhz RustQuant Interpolation Method Selection
- Heuristic:MaterializeInc Materialize CI Retry Strategies
- Heuristic:Norrrrrrr lyn WAInjectBench Union Ensemble Maximize Recall
Environments
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Langchain ai Langchain Python 3 10 Runtime
- Environment:Huggingface Datatrove Inference GPU Environment
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Volcengine Verl Megatron Core Environment
- Environment:Roboflow Rf detr ONNX Export Environment
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:Sgl project Sglang CUDA