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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:Teamcapybara Capybara Selenium Driver Configuration
- Workflow:LMCache LMCache CacheBlend KV Reuse
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Elevenlabs Elevenlabs python Conversational AI Agent
- Workflow:Cleanlab Cleanlab Datalab Dataset Audit
- Workflow:Huggingface Diffusers Checkpoint Conversion
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Bentoml BentoML Bento Build And Containerization
- Workflow:Openai CLIP Prompt engineered classification
Principles
- Principle:Ollama Ollama KVCache Causal Attention
- Principle:Cypress io Cypress Component Result Review
- Principle:Getgauge Taiko Page Screenshot
- Principle:Scikit learn contrib Imbalanced learn Package Initialization
- Principle:FlowiseAI Flowise Document Processing
- Principle:Dotnet Machinelearning Matrix Factorization
- Principle:ARISE Initiative Robosuite MJCF XML Manipulation
- Principle:Pyro ppl Pyro Posterior Predictive Analysis
- Principle:Roboflow Rf detr ONNX Runtime Validation
- Principle:Sktime Pytorch forecasting Hyperparameter Optimization
Implementations
- Implementation:Microsoft LoRA Legacy Run SWAG
- Implementation:Elevenlabs Elevenlabs python ChapterResponse
- Implementation:Online ml River Tree Splitter NominalReg
- Implementation:Apache Flink SourceReaderBase
- Implementation:Allenai Open instruct Beaker Experiment Workflow
- Implementation:Langgenius Dify Model Config Utils
- Implementation:Ollama Ollama Llama Common
- Implementation:Apache Shardingsphere HintShadowAlgorithm SPI
- Implementation:Microsoft Onnxruntime CPU GradientControl
- Implementation:Microsoft Onnxruntime OrtLoggingLevel
Heuristics
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:Trailofbits Fickling Allowlist Maintenance
- Heuristic:CrewAIInc CrewAI MCP Timeout And Retry Strategy
- Heuristic:Langfuse Langfuse LLM Rate Limit 24h Abandon
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:PeterL1n BackgroundMattingV2 ONNX Patch Method Compatibility
- Heuristic:Deepspeedai DeepSpeed Sequence Parallel PyTorch Version
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:Openclaw Openclaw Config Cascade Resolution
- Heuristic:Microsoft Agent framework Typed Agent Options Pattern
Environments
- Environment:LLMBook zh LLMBook zh github io HuggingFace Transformers Stack
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:Evidentlyai Evidently Spark Engine Environment
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Spotify Luigi AWS S3 Storage
- Environment:Rapidsai Cuml CUDA GPU
- Environment:Pytorch Serve vLLM Engine Environment
- Environment:Alibaba MNN Python Export Environment
- Environment:Tencent Ncnn Build Environment