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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:Lance format Lance Full Text Search
- Workflow:Mlc ai Mlc llm Mobile Deployment
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
- Workflow:FlowiseAI Flowise Chatbot Deployment
- Workflow:Spcl Graph of thoughts Custom GoT Use Case Integration
- Workflow:Marker Inc Korea AutoRAG Evaluation Data Creation
- Workflow:Nautechsystems Nautilus trader Live trading deployment
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:Haosulab ManiSkill Sim2Real Deployment
- Workflow:Apache Dolphinscheduler Workflow Failover Recovery
Principles
- Principle:Volcengine Verl GRPO Advantage Estimation
- Principle:Langchain ai Langgraph Graph Constants
- Principle:Haotian liu LLaVA Weight Delta Application
- Principle:Huggingface Datasets Compressed Filesystem Access
- Principle:FlagOpen FlagEmbedding Reinforced Domain Adaptation
- Principle:Mbzuai oryx Awesome LLM Post training Seed Paper Search
- Principle:Turboderp org Exllamav2 Model Compilation
- Principle:SqueezeAILab ETS Evaluation Reporting
- Principle:Scikit learn Scikit learn Feature Importance Analysis
- Principle:Datahub project Datahub Entity Metadata Enrichment
Implementations
- Implementation:Open compass VLMEvalKit Omni Verifier
- Implementation:ArroyoSystems Arroyo Datastream Types
- Implementation:FlagOpen FlagEmbedding Reinforced IR Retriever Dataset
- Implementation:Triton inference server Server L0 Socket Test
- Implementation:Microsoft Autogen AssistantAgent Init
- Implementation:OWASP Www project top 10 for large language model applications ResultsAnalyzer Compile Report
- Implementation:Turboderp org Exllamav2 Hadamard
- Implementation:TobikoData Sqlmesh Generate Test
- Implementation:Scikit learn contrib Imbalanced learn SMOTETomek
- Implementation:Open compass VLMEvalKit VXVERSE
Heuristics
- Heuristic:Neuml Txtai MacOS Stability Workarounds
- Heuristic:Deepseek ai Janus CFG Weight Tuning
- Heuristic:Puppeteer Puppeteer Mac Silicon Performance
- Heuristic:SeleniumHQ Selenium FindElements For Absence Check
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Puppeteer Puppeteer Firefox Single Process Workaround
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
- Heuristic:SeldonIO Seldon core Over Commit Memory Tip
- Heuristic:Langchain ai Langchain Deprecation Version Tracking
- Heuristic:Langfuse Langfuse Ingestion Date Boundary Delay
Environments
- Environment:Lance format Lance Rust Toolchain
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Kserve Kserve Cert Manager
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:Openai Openai python Realtime WebSocket
- Environment:Lance format Lance Python Environment
- Environment:Sgl project Sglang CUDA SM100
- Environment:Puppeteer Puppeteer Configuration Environment Variables