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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:Shiyu coder Kronos CSV Finetuning
- Workflow:DevExpress Testcafe Basic Test Authoring
- Workflow:Apache Spark Kubernetes Deployment
- Workflow:Online ml River Time Series Forecasting
- Workflow:Tencent Ncnn Object Detection Inference
- Workflow:Langchain ai Langgraph Functional API Workflow
- Workflow:DataTalksClub Data engineering zoomcamp dlt Data Ingestion
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:CrewAIInc CrewAI Hierarchical Crew Execution
- Workflow:FlagOpen FlagEmbedding Embedder Inference
Principles
- Principle:SeleniumHQ Selenium DevTools Connection Establishment
- Principle:Langchain ai Langgraph Channel Types
- Principle:Langchain ai Langgraph Runtime Context
- Principle:ArroyoSystems Arroyo Checkpoint Coordination
- Principle:Langgenius Dify Chunking Strategy
- Principle:Duckdb Duckdb Quantile Estimation
- Principle:Mit han lab Llm awq Conversation Template Management
- Principle:Huggingface Optimum CLI Command Framework
- Principle:Online ml River Online ML Utilities
- Principle:Openai Openai python Realtime Session Configuration
Implementations
- Implementation:Huggingface Datasets DatasetInfo
- Implementation:Apache Kafka CoordinatorTimerImpl Schedule
- Implementation:Huggingface Datatrove HttpMediaFetcher
- Implementation:Scikit learn Scikit learn KernelDensity
- Implementation:Zai org CogVideo Caption File Output
- Implementation:Datajuicer Data juicer DWposeDetector
- Implementation:Ollama Ollama XTools Registry
- Implementation:Ollama Ollama Llama Quant
- Implementation:Microsoft Agent framework DeepResearch Workflow Definition
- Implementation:Apache Druid MultiAxisChartModule
Heuristics
- Heuristic:OWASP Www project top 10 for large language model applications Warning Deprecated Markdown To PDF Convert
- Heuristic:Hpcaitech ColossalAI Empty Cache Between Phases
- Heuristic:Ucbepic Docetl Reduce Parallel Fold Tuning
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:Elevenlabs Elevenlabs python VAD vs Manual Commit Strategy
- Heuristic:Rapidsai Cuml GPU Cache Alignment
- Heuristic:Microsoft Playwright Test Stability Practices
- Heuristic:Deepset ai Haystack BM25 Score Scaling
- Heuristic:Langchain ai Langchain Error Context Preservation
- Heuristic:Mbzuai oryx Awesome LLM Post training API Rate Limit Retry Strategy
Environments
- Environment:Fastai Fastbook Jupyter Notebook Environment
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Ucbepic Docetl Python Runtime
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Vibrantlabsai Ragas Google Drive Backend Environment
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Dotnet Machinelearning ONNX Runtime Environment
- Environment:Microsoft Autogen Extension Optional Dependencies
- Environment:Apache Beam Java Build Environment
- Environment:Infiniflow Ragflow GPU CUDA Environment