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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 |
Explore Pages
Workflows
- Workflow:DataExpert io Data engineer handbook AB Experimentation Server
- Workflow:Apache Druid Visual Data Exploration
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:NVIDIA DALI Object Detection Training TensorFlow
- Workflow:PrefectHQ Prefect Web Scraping Pipeline
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:Truera Trulens RAG Evaluation With LangChain
- Workflow:Vespa engine Vespa Document indexing pipeline
Principles
- Principle:Confident ai Deepeval Context Generation
- Principle:Facebookresearch Audiocraft Language Model Export
- Principle:Huggingface Optimum Transformation Composition
- Principle:Dotnet Machinelearning Binary Classification Training
- Principle:Fede1024 Rust rdkafka Message Inspection
- Principle:Huggingface Transformers Quantization Configuration
- Principle:Helicone Helicone Backend Log Processing
- Principle:Webdriverio Webdriverio TypeScript Type Safety
- Principle:Microsoft Agent framework Workflow Agent Wrapping
- Principle:Ollama Ollama Registry Authentication
Implementations
- Implementation:Openai Openai python Vector Store Search Response
- Implementation:Microsoft Playwright Client Instrumentation
- Implementation:Microsoft Onnxruntime CUDA ConvGrad
- Implementation:FlowiseAI Flowise InitNode
- Implementation:Avhz RustQuant Calendar
- Implementation:Google deepmind Mujoco mj loadModel
- Implementation:CARLA simulator Carla Visualize Radar Example
- Implementation:Run llama Llama index Metadata Extractors
- Implementation:Online ml River Tree Splitter TEBST
- Implementation:Kserve Kserve Triton MMS Perf Test
Heuristics
- Heuristic:Princeton nlp Tree of thought llm Functools Partial Model Binding
- Heuristic:Apache Druid Query Error Suggestion Patterns
- Heuristic:Deepset ai Haystack Logging Auto Detection
- Heuristic:Vibrantlabsai Ragas Analytics Silent Failure Pattern
- Heuristic:Microsoft BIPIA Delta Weight CPU Loading
- Heuristic:Sktime Pytorch forecasting Early Stopping Patience
- Heuristic:Zai org CogVideo Frame Count and Resolution Constraints
- Heuristic:Sdv dev SDV Gaussian KDE Incompatibility
- Heuristic:OpenHands OpenHands Streamable HTTP Over SSE
- Heuristic:Online ml River ARF Drift Detection Sensitivity
Environments
- Environment:Haosulab ManiSkill Python SAPIEN Core
- Environment:OpenRLHF OpenRLHF Flash Attention Environment
- Environment:Unstructured IO Unstructured All Docs
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Apache Airflow Database Backend Environment
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:Kornia Kornia PyTorch Python Environment
- Environment:Microsoft BIPIA Python CUDA GPU Environment