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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:Evidentlyai Evidently Text Data Quality Evaluation
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:AUTOMATIC1111 Stable diffusion webui Image postprocessing and upscaling
- Workflow:Lm sys FastChat Distributed Model Serving
- Workflow:VainF Torch Pruning Object Detection Pruning
- Workflow:Dagster io Dagster RAG Pipeline
- Workflow:Openai Openai agents python Multi Agent Handoff
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:Allenai Open instruct Tulu3 Full Post Training
Principles
- Principle:Ucbepic Docetl Chunk Processing
- Principle:Huggingface Datasets Spark Import
- Principle:SeleniumHQ Selenium PageFactory Initialization
- Principle:Ggml org Llama cpp Multimodal Encoding And Generation
- Principle:Mistralai Client python Message Construction
- Principle:Kubeflow Kubeflow Community Engagement
- Principle:Deepspeedai DeepSpeed AutoTP Engine Init
- Principle:Openai Openai node Realtime Connection
- Principle:Lucidrains X transformers Encoder Decoder Generation
- Principle:Openai Openai agents python Lifecycle Hooks
Implementations
- Implementation:Online ml River Stats Shift
- Implementation:EvolvingLMMs Lab Lmms eval GEdit Bench YAML Config
- Implementation:BerriAI Litellm Cooldown Cache
- Implementation:Ray project Ray PlacementGroups API
- Implementation:Online ml River Cluster KMeans
- Implementation:NVIDIA TransformerEngine Triton Permutation
- Implementation:Bentoml BentoML IO Descriptor Multipart
- Implementation:Open compass VLMEvalKit LongVideoBench
- Implementation:OpenGVLab InternVL Streamlit Model Worker
- Implementation:Microsoft Semantic kernel ProcessFunctionTargetBuilder
Heuristics
- Heuristic:Apache Kafka Log4j Migration Compatibility
- Heuristic:Apache Paimon Vector Index Configuration Tips
- Heuristic:Protectai Llm guard Token Limit Early Guard
- Heuristic:Snorkel team Snorkel DataParallel Default Behavior
- Heuristic:Mlc ai Web llm Service Worker Keep Alive
- Heuristic:DataExpert io Data engineer handbook Docker Volume Persistence Management
- Heuristic:Apache Druid Query Error Suggestion Patterns
- Heuristic:Protectai Llm guard Fail Fast Early Exit
- Heuristic:Langchain ai Langchain Pydantic V2 Configuration Tips
- Heuristic:Iterative Dvc Run Cache Restoration Strategy
Environments
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:Huggingface Alignment handbook Python Datasets
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:Treeverse LakeFS Spark GC Environment
- Environment:Mistralai Client python Agents Environment
- Environment:DevExpress Testcafe Firefox Marionette
- Environment:Openclaw Openclaw Docker Deployment Environment
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:Huggingface Peft Optional Quantization Backends