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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:DistrictDataLabs Yellowbrick Feature Analysis and Selection
- Workflow:CARLA simulator Carla Simulation Recording and Replay
- Workflow:Pytorch Serve LLM Deployment vLLM
- Workflow:Datajuicer Data juicer Dataset Quality Analysis
- Workflow:Huggingface Datatrove Summary Statistics
- Workflow:Googleapis Python genai Function Calling and Tools
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:FlowiseAI Flowise Document Store Ingestion
- Workflow:Obss Sahi COCO Dataset Slicing
- Workflow:Huggingface Trl Reward Model Training
Principles
- Principle:Protectai Llm guard Observability Instrumentation
- Principle:Ggml org Llama cpp CLI Configuration
- Principle:Microsoft DeepSpeedExamples Multi Dataset VQA Preparation
- Principle:AnswerDotAI RAGatouille Hard Negative Mining
- Principle:Huggingface Datatrove Repetition Filtering
- Principle:Unslothai Unsloth Ollama Deployment
- Principle:Astronomer Astronomer cosmos Project Path Configuration
- Principle:Volcengine Verl VLM Actor Forward
- Principle:Avhz RustQuant Fast Fourier Transform
- Principle:DataTalksClub Data engineering zoomcamp Dlt Resource Definition
Implementations
- Implementation:Cohere ai Cohere python JsonResponseFormat Model
- Implementation:Tensorflow Serving load servables fast h
- Implementation:ArroyoSystems Arroyo Iceberg Schema
- Implementation:Alibaba MNN PyMNN Runtime Manager
- Implementation:Cohere ai Cohere python BedrockClientV2 Init
- Implementation:SeleniumHQ Selenium Python CDP Generator
- Implementation:Online ml River Bandit Envs CandyCane
- Implementation:Apache Shardingsphere DataChangedEvent Constructor
- Implementation:FlowiseAI Flowise AgentflowStickyNote
- Implementation:Predibase Lorax MLlama Vision Model
Heuristics
- Heuristic:Lucidrains X transformers Rotary Position Embedding Selection
- Heuristic:DistrictDataLabs Yellowbrick Scikit Learn API Compatibility
- Heuristic:OpenHands OpenHands Redis Distributed Locking
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:MaterializeInc Materialize Pipeline Test Trimming Rules
- Heuristic:OpenGVLab InternVL Dynamic Resolution Tiling
- Heuristic:Langgenius Dify Credential Sanitization In API Responses
- Heuristic:Apache Beam GC Thrashing Detection
- Heuristic:Sktime Pytorch forecasting Early Stopping Patience
Environments
- Environment:Pola rs Polars Rust Build Environment
- Environment:Microsoft Semantic kernel DotNet SDK Environment
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:Langgenius Dify Vector Database Environment
- Environment:Marker Inc Korea AutoRAG API Keys And Credentials
- Environment:ARISE Initiative Robomimic Robosuite Simulation Backend
- Environment:Vibrantlabsai Ragas LLM Provider Credentials
- Environment:Webdriverio Webdriverio Browser Driver Environment
- Environment:Hpcaitech ColossalAI GRPO Distributed Environment
- Environment:Triton inference server Server GPU CUDA Runtime