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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:Ucbepic Docetl YAML Pipeline Execution
- Workflow:Trailofbits Fickling Safe ML Model Loading
- Workflow:Pyro ppl Pyro SVI Training
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
- Workflow:Obss Sahi COCO Evaluation
- Workflow:MaterializeInc Materialize CI Pipeline Generation
- Workflow:FlagOpen FlagEmbedding Reranker Finetuning
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:Haotian liu LLaVA Benchmark Evaluation
Principles
- Principle:Deepspeedai DeepSpeed ZeRO Training Loop
- Principle:VainF Torch Pruning Dependency Group Pruning
- Principle:Kserve Kserve LLMIsvc Controller Reconciliation
- Principle:Openclaw Openclaw Extension Type Identification
- Principle:FlowiseAI Flowise API Documentation
- Principle:Sdv dev SDV Schema Simplification
- Principle:Neuml Txtai ONNX Export
- Principle:TobikoData Sqlmesh Approval And Production Deployment
- Principle:Mlflow Mlflow Code Quality Linting
- Principle:LaurentMazare Tch rs Generative Adversarial Network
Implementations
- Implementation:Scikit learn Scikit learn NumpyDocScrape
- Implementation:Ollama Ollama Scheduler GetRunner
- Implementation:Nightwatchjs Nightwatch Extension Path Settings
- Implementation:Mlc ai Mlc llm Draft Token Workspace
- Implementation:Huggingface Alignment handbook SFTTrainer Multi Task
- Implementation:Puppeteer Puppeteer Cdp Browser
- Implementation:Huggingface Diffusers PipelineQuantizationConfig
- Implementation:Microsoft Playwright WkExecutionContext
- Implementation:Testtimescaling Testtimescaling github io Actions Checkout V3
- Implementation:ARISE Initiative Robosuite LightingModder
Heuristics
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:Langchain ai Langgraph Retry Policy Configuration
- Heuristic:Iterative Dvc Path Performance Optimization
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:Marker Inc Korea AutoRAG Warning Deprecated Legacy QA Creation
- Heuristic:Obss Sahi Confidence Threshold Setting
- Heuristic:Zai org CogVideo Frame Count and Resolution Constraints
- Heuristic:Nightwatchjs Nightwatch Timeout And Retry Tuning
Environments
- Environment:FlagOpen FlagEmbedding GPU Accelerator Environment
- Environment:ClickHouse ClickHouse Python3 Test Environment
- Environment:Deepspeedai DeepSpeed CUDA GPU Environment
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud
- Environment:NVIDIA NeMo Curator Ray Cluster
- Environment:Wandb Weave LLM Integration Dependencies
- Environment:Apache Kafka Committer Tools Environment
- Environment:ClickHouse ClickHouse OpenSSL Runtime
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements
- Environment:Apache Airflow Database Backend Environment