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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:Pola rs Polars SQL Query Interface
- Workflow:Mlflow Mlflow Model Serving
- Workflow:Haosulab ManiSkill Imitation Learning Pipeline
- Workflow:Deepspeedai DeepSpeed Inference Engine Optimization
- Workflow:CARLA simulator Carla Simulation Setup and First Steps
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:Bitsandbytes foundation Bitsandbytes FSDP QLoRA Distributed Training
- Workflow:ContextualAI HALOs Online Iterative Alignment
- Workflow:ChenghaoMou Text dedup MinHash LSH Deduplication
- Workflow:Cleanlab Cleanlab CleanLearning Robust Training
Principles
- Principle:Microsoft Playwright Configure Recording Context
- Principle:Pytorch Serve Accelerate Device Mapping
- Principle:PacktPublishing LLM Engineers Handbook REST API Serving
- Principle:Nautechsystems Nautilus trader PyO3 Stub Generation
- Principle:Getgauge Taiko Gauge Step Implementation
- Principle:LaurentMazare Tch rs Runtime Configuration
- Principle:Scikit learn contrib Imbalanced learn Sphinx Documentation Configuration
- Principle:Trailofbits Fickling PyTorch Format Identification
- Principle:Wandb Weave Prompt Publishing
- Principle:Tensorflow Serving Docker Image Building
Implementations
- Implementation:Microsoft Playwright SsimStats
- Implementation:Sdv dev SDV Run Diagnostic
- Implementation:Kornia Kornia Integral Image
- Implementation:Sdv dev SDV GaussianCopulaSynthesizer Init
- Implementation:Pyro ppl Pyro GP BayesOpt
- Implementation:Google deepmind Dm control Suite Fish
- Implementation:Mlc ai Mlc llm Model Metadata Impl
- Implementation:Recommenders team Recommenders SARSingleNode Fit
- Implementation:Iterative Dvc Dependency Dataset
- Implementation:Microsoft Onnxruntime Ort Tensor Nodejs
Heuristics
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Bentoml BentoML Platform Serving Caveats
- Heuristic:OpenHands OpenHands Streamable HTTP Over SSE
- Heuristic:Sktime Pytorch forecasting Target Normalization Transforms
- Heuristic:NVIDIA TransformerEngine FP8 Checkpoint Compatibility
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Duckdb Duckdb Version Sync Across Files
- Heuristic:Cohere ai Cohere python ToolCallV2 Auto UUID Override
- Heuristic:Togethercomputer Together python Multipart Upload Strategy
- Heuristic:Onnx Onnx Big Endian Byte Order Handling
Environments
- Environment:Langchain ai Langchain Python 3 10 Runtime
- Environment:Microsoft Semantic kernel ONNX CUDA Environment
- Environment:Facebookresearch Audiocraft AudioCraft Environment Variables
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Sgl project Sglang CUDA
- Environment:Mlflow Mlflow Docker Container Environment
- Environment:Ray project Ray Java Build Environment
- Environment:Huggingface Datasets Audio Video Dependencies
- Environment:Rapidsai Cuml Python RAPIDS Stack