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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:NVIDIA NeMo Aligner DPO Training
- Workflow:Mistralai Client python Azure Chat Completion
- Workflow:InternLM Lmdeploy W8A8 SmoothQuant Quantization
- Workflow:Microsoft Agent framework Declarative Agent Definition
- Workflow:Apache Beam Portable Pipeline Submission
- Workflow:Openai Openai node Audio Processing
- Workflow:Explodinggradients Ragas Test Data Generation
- Workflow:Snorkel team Snorkel Multitask Classification
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:Microsoft Playwright Codegen test recording
Principles
- Principle:NVIDIA NeMo Aligner Reward Model Validation
- Principle:Rapidsai Cuml UMAP Development Tooling
- Principle:NVIDIA DALI Image Resize
- Principle:Marker Inc Korea AutoRAG Pipeline Runner Initialization
- Principle:Heibaiying BigData Notes Hive Partitioning and Bucketing
- Principle:Cleanlab Cleanlab Coteaching Algorithm
- Principle:Datajuicer Data juicer Operator Dependency Management
- Principle:Pytorch Serve Model Explainability
- Principle:Pola rs Polars Query Plan Inspection
- Principle:Arize ai Phoenix Server Side Span Ingestion
Implementations
- Implementation:Arize ai Phoenix SpanQuery DSL
- Implementation:Mage ai Mage ai Buildkite ECS Deploy
- Implementation:Dagster io Dagster Config Class
- Implementation:Hpcaitech ColossalAI Dataset Utils
- Implementation:Facebookresearch Audiocraft WatermarkSolver
- Implementation:Haifengl Smile DataFrame To Numerical For SQL
- Implementation:Getgauge Taiko Intercept
- Implementation:Openai Openai python Response Output Text
- Implementation:Speechbrain Speechbrain Train GigaSpeech Transducer
- Implementation:Predibase Lorax Medusa Adapter
Heuristics
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:Lucidrains X transformers Rotary Position Embedding Selection
- Heuristic:Datahub project Datahub Gradle Task Only
- Heuristic:Protectai Llm guard ONNX Runtime Optimization
- Heuristic:Ucbepic Docetl Validation Retry Strategy
- Heuristic:Openai Evals Model Graded Eval Design
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
Environments
- Environment:Unslothai Unsloth Llama Cpp
- Environment:Speechbrain Speechbrain Multi GPU DDP
- Environment:Treeverse LakeFS Go Runtime Environment
- Environment:Eventual Inc Daft Ray Distributed Runner
- Environment:Zai org CogVideo Video Captioning Environment
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:Cleanlab Cleanlab Python Core Environment
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Kubeflow Pipelines Kubernetes Cluster