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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:TobikoData Sqlmesh Incremental model development
- Workflow:Treeverse LakeFS Data Version Control With Branches
- Workflow:Ray project Ray Cross Language Invocation
- Workflow:Turboderp org Exllamav2 Interactive Chat
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
- Workflow:Wandb Weave Evaluation Pipeline
- Workflow:Googleapis Python genai Context Caching
- Workflow:Deepset ai Haystack RAG Evaluation Pipeline
- Workflow:Recommenders team Recommenders Algorithm Benchmarking
- Workflow:CARLA simulator Carla Simulation Recording and Replay
Principles
- Principle:Promptfoo Promptfoo Provider Interface
- Principle:Online ml River Horizon Metric
- Principle:MarketSquare Robotframework browser Node Dependency Initialization
- Principle:Mit han lab Llm awq Multimodal Vision Language Inference
- Principle:Neuml Txtai Speech Synthesis
- Principle:Cypress io Cypress Test Suite Execution
- Principle:Haifengl Smile Matrix Decomposition
- Principle:Online ml River Incremental Forecasting Interface
- Principle:Mlc ai Web llm Text Completion Configuration
- Principle:Wandb Weave Pre release Validation
Implementations
- Implementation:Recommenders team Recommenders TF Utils
- Implementation:Ollama Ollama Llama Log API
- Implementation:Datajuicer Data juicer ImageWatermarkFilter
- Implementation:Interpretml Interpret Sampling
- Implementation:Pyro ppl Pyro Special
- Implementation:Kornia Kornia Guided Filter
- Implementation:Haifengl Smile DataFrame Numerical Conversion
- Implementation:Bentoml BentoML Api Token Module
- Implementation:Snorkel team Snorkel Generate Simple Label Matrix
- Implementation:Mlc ai Mlc llm Tokenizer Header
Heuristics
- Heuristic:Open compass VLMEvalKit SKIP ERR For Graceful Inference
- Heuristic:Huggingface Datasets Num Proc Guidelines
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Scikit learn Scikit learn Convergence Warning Handling
- Heuristic:Fede1024 Rust rdkafka Queue Buffering Priority
- Heuristic:ArroyoSystems Arroyo Worker Heartbeat Timeout
- Heuristic:PrefectHQ Prefect Task Timeout Thread Limitation
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:Alibaba ROLL Gradient Checkpointing Recomputation
- Heuristic:Roboflow Rf detr Resolution Divisibility Rule
Environments
- Environment:Farama Foundation Gymnasium Video Recording Dependencies
- Environment:Datahub project Datahub Docker Quickstart Environment
- Environment:Infiniflow Ragflow GPU CUDA Environment
- Environment:Recommenders team Recommenders Python Core Dependencies
- Environment:Togethercomputer Together python Python SDK Runtime
- Environment:Zai org CogVideo SAT Framework Environment
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:MarketSquare Robotframework browser CI GitHub Actions
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment
- Environment:Alibaba MNN GPU CUDA Environment