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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:Alibaba MNN LLM Deployment Pipeline
- Workflow:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:Pola rs Polars Streaming Large Dataset Processing
- Workflow:DataTalksClub Data engineering zoomcamp dlt Data Ingestion
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
- Workflow:Online ml River Time Series Forecasting
- Workflow:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:Microsoft Onnxruntime Distributed Model Training
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Dotnet Machinelearning AutoML Experiment
Principles
- Principle:Pytorch Serve System Diagnostics
- Principle:DevExpress Testcafe Browser Provider Selection
- Principle:Openai Openai node Audio Translation
- Principle:PrefectHQ Prefect Webhook Driven Flow Resumption
- Principle:Openai CLIP Dataset Preparation
- Principle:Langgenius Dify Volume Initialization
- Principle:Microsoft BIPIA Results Analysis
- Principle:Avhz RustQuant Automatic Differentiation
- Principle:Speechbrain Speechbrain CTC Training Loop
- Principle:NVIDIA NeMo Aligner RLHF Prompt Data Preparation
Implementations
- Implementation:Ggml org Ggml Cann backend api
- Implementation:Lance format Lance IndexCaches
- Implementation:Infiniflow Ragflow Async Ask
- Implementation:Apache Shardingsphere StatisticsRefreshEngine Refresh
- Implementation:Nightwatchjs Nightwatch Extension Invocation Pattern
- Implementation:Apache Airflow SafeStatsdLogger
- Implementation:Hpcaitech ColossalAI DetachedTrainer
- Implementation:NVIDIA DALI NVML Utilities
- Implementation:Microsoft Semantic kernel InvokePromptStreamingAsync
- Implementation:Ollama Ollama Llama Log API
Heuristics
- Heuristic:Kserve Kserve Server Side Apply For CRDs
- Heuristic:Haosulab ManiSkill GPU Memory Buffer Tuning
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
- Heuristic:Shiyu coder Kronos Two Stage Finetuning Strategy
- Heuristic:Predibase Lorax Flash Attention Backend Selection
- Heuristic:Marker Inc Korea AutoRAG Data Format Requirements
- Heuristic:Langfuse Langfuse Eval Loop Prevention
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Treeverse LakeFS Action Cache Wait Tip
Environments
- Environment:Intel Ipex llm NPU Environment
- Environment:Astronomer Astronomer cosmos Cosmos Airflow Configuration
- Environment:Cypress io Cypress Linux Display Server
- Environment:Unstructured IO Unstructured Profiling Tools
- Environment:OpenHands OpenHands SaaS Server Environment
- Environment:Openai CLIP Python Dependencies
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Roboflow Rf detr ONNX Export Environment
- Environment:Nautechsystems Nautilus trader Arrow Parquet Serialization