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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:Puppeteer Puppeteer Page Screenshot Capture
- Workflow:Spotify Luigi Local Batch Pipeline
- Workflow:Marker Inc Korea AutoRAG Data Creation Pipeline
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Neuml Txtai Model Training
- Workflow:AUTOMATIC1111 Stable diffusion webui Checkpoint merging
- Workflow:TobikoData Sqlmesh Dbt project migration
- Workflow:FMInference FlexLLMGen Text Completion API
- Workflow:Langfuse Langfuse Trace ingestion pipeline
- Workflow:Lance format Lance Table Optimization
Principles
- Principle:LLMBook zh LLMBook zh github io Loss Masking Tokenization
- Principle:Huggingface Datasets Lance Dataset Building
- Principle:Mage ai Mage ai API Stream Discovery
- Principle:Google deepmind Mujoco SIMD Optimization
- Principle:Tensorflow Tfjs Recurrent Neural Networks
- Principle:Spcl Graph of thoughts Thought Selection
- Principle:BerriAI Litellm Retry And Fallback
- Principle:Google deepmind Dm control Locomotion Visualization
- Principle:Arize ai Phoenix Experiment Execution
- Principle:FlagOpen FlagEmbedding Package Installation
Implementations
- Implementation:Cohere ai Cohere python File Types
- Implementation:Openai Openai node EventEmitter On
- Implementation:Explodinggradients Ragas EvaluatorChain Class
- Implementation:Online ml River Metrics CohenKappa
- Implementation:ArroyoSystems Arroyo Physical Planner
- Implementation:NVIDIA TransformerEngine TE LayerNorm
- Implementation:Spotify Luigi ScaldingJobTask
- Implementation:Predibase Lorax EETQ Linear
- Implementation:Spotify Luigi ECSTask
- Implementation:Onnx Onnx ArrayRef
Heuristics
- Heuristic:Fastai Fastbook Learning Rate Finder Rule
- Heuristic:Spcl Graph of thoughts Scoring With Error Counting
- Heuristic:Dotnet Machinelearning Numerical Stability Guards
- Heuristic:NVIDIA DALI Batch Size Tuning
- Heuristic:Roboflow Rf detr Layer Wise LR Decay
- Heuristic:OpenRLHF OpenRLHF Adam Offload Memory Tip
- Heuristic:Anthropics Anthropic sdk python Streaming For Long Requests
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
Environments
- Environment:BerriAI Litellm PostgreSQL Database
- Environment:Google deepmind Dm control Python MuJoCo Runtime
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Zai org CogVideo SAT Framework Environment
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:Volcengine Verl Python Core Dependencies
- Environment:FlagOpen FlagEmbedding GPU Accelerator Environment
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:Eventual Inc Daft Python PyArrow Core