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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:Puppeteer Puppeteer Cross Browser Automation
- Workflow:Obss Sahi Sliced Inference Pipeline
- Workflow:Openai Openai node Fine Tuning
- Workflow:Princeton nlp SimPO On Policy Data Generation
- Workflow:Haifengl Smile Matrix Decomposition Pipeline
- Workflow:Onnx Onnx Reference Evaluation
- Workflow:Alibaba MNN LLM Deployment Pipeline
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
- Workflow:NVIDIA NeMo Curator Video Curation Pipeline
- Workflow:Protectai Modelscan Programmatic Model Scanning
Principles
- Principle:OpenHands OpenHands Sandbox Creation
- Principle:Onnx Onnx Model Validation
- Principle:Bentoml BentoML Build Configuration
- Principle:Kornia Kornia ONNX IO Mapping
- Principle:OpenRLHF OpenRLHF Preference Dataset Construction
- Principle:Microsoft DeepSpeedExamples DeepSpeed Engine Init
- Principle:FlagOpen FlagEmbedding Package Installation
- Principle:Astronomer Astronomer cosmos Dbt Documentation Generation
- Principle:ARISE Initiative Robosuite Demonstration Trajectory Collection
- Principle:CarperAI Trlx Online RL Training
Implementations
- Implementation:Triton inference server Server GenQaIdentityModels
- Implementation:Tensorflow Tfjs LayersModel Save
- Implementation:Microsoft Semantic kernel OrchestrationResult GetValueAsync
- Implementation:Ggml org Ggml Quants api
- Implementation:Isaac sim IsaacGymEnvs PBT Process Backend
- Implementation:SeleniumHQ Selenium UnhandledAlertException
- Implementation:Mage ai Mage ai Google Sheets Transform
- Implementation:Run llama Llama index LLM Callbacks
- Implementation:Farama Foundation Gymnasium FrozenLakeEnv
- Implementation:DataTalksClub Data engineering zoomcamp Dbt Test Docs CLI
Heuristics
- Heuristic:Microsoft Onnxruntime Memory Recomputation Optimization
- Heuristic:Dotnet Machinelearning Tokenizer Caching Strategy
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:Kornia Kornia Lazy Loading Optional Deps
- Heuristic:Romsto Speculative Decoding Shared Tokenizer Requirement
- Heuristic:Haifengl Smile Quarkus Async Context Handling
- Heuristic:Teamcapybara Capybara Animation Disabling For Tests
- Heuristic:Microsoft BIPIA BF16 Compute Capability Check
- Heuristic:ContextualAI HALOs LoRA Merge At Save
- Heuristic:Arize ai Phoenix Queue Clear Race Condition
Environments
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Ucbepic Docetl Docker Deployment
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Togethercomputer Together python API Credentials
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Vllm project Vllm Intel XPU
- Environment:Openai Whisper Numba