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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:EvolvingLMMs Lab Lmms eval Custom Model Integration
- Workflow:Truera Trulens RAG Evaluation With LangChain
- Workflow:CrewAIInc CrewAI Hierarchical Crew Execution
- Workflow:Farama Foundation Gymnasium Custom Environment Creation
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Vibrantlabsai Ragas Agent Evaluation
- Workflow:FlowiseAI Flowise Agentflow V2 Creation
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:Apache Beam Local Pipeline Execution
- Workflow:Mit han lab Llm awq AWQ Model Evaluation
Principles
- Principle:PacktPublishing LLM Engineers Handbook SageMaker Training Orchestration
- Principle:Pola rs Polars Streaming Query Building
- Principle:HKUDS AI Trader Web Search Integration
- Principle:ClickHouse ClickHouse Data Lake Testing
- Principle:Princeton nlp Tree of thought llm Thought Evaluation
- Principle:Webdriverio Webdriverio Custom Reporter Development
- Principle:Marker Inc Korea AutoRAG API Based Passage Reranking
- Principle:Online ml River Anomaly Scoring Interface
- Principle:CrewAIInc CrewAI State Persistence
- Principle:Huggingface Diffusers Pipeline Level Quantization
Implementations
- Implementation:Helicone Helicone Feature Definitions
- Implementation:Langchain ai Langchain Tool Decorator
- Implementation:CarperAI Trlx PromptPipeline
- Implementation:Openai Openai python Image Gen Completed Event
- Implementation:NVIDIA TransformerEngine Ops Dropout
- Implementation:Sail sg LongSpec Stage Progression Config
- Implementation:Intel Ipex llm Pipeline Parallel Multimodal
- Implementation:SeldonIO Seldon core Operator Main
- Implementation:Neuml Txtai Application Init
- Implementation:Kserve Kserve RDMA Network Configuration
Heuristics
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
- Heuristic:CrewAIInc CrewAI MCP Timeout And Retry Strategy
- Heuristic:DistrictDataLabs Yellowbrick Elbow Knee Detection Sensitivity
- Heuristic:Avdvg InjectGuard Module Level Initialization
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:Wandb Weave Payload Size Limits
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:Microsoft Onnxruntime ORTModule Wrapping Order
Environments
- Environment:NVIDIA NeMo Curator Python Linux Base
- Environment:CrewAIInc CrewAI LLM Provider Credentials
- Environment:Interpretml Interpret Native Libebm Environment
- Environment:MarketSquare Robotframework browser Node Runtime
- Environment:Kserve Kserve Istio Service Mesh
- Environment:CARLA simulator Carla Python API Runtime
- Environment:LaurentMazare Tch rs Libtorch Build Environment
- Environment:Huggingface Datatrove Python Runtime
- Environment:ContextualAI HALOs CUDA 12 1 Training Environment
- Environment:Norrrrrrr lyn WAInjectBench Conda Python 39 CUDA Environment