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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:Langchain ai Langgraph Human in the Loop Agent
- Workflow:Kornia Kornia Image Stitching Panorama
- Workflow:Evidentlyai Evidently Text Data Quality Evaluation
- Workflow:Apache Paimon Data Ingestion With Ray Sink
- Workflow:AnswerDotAI RAGatouille Document Indexing And Search
- Workflow:PrefectHQ Prefect Database Cleanup With Approval
- Workflow:Lance format Lance Version Management
- Workflow:Datahub project Datahub CLI Metadata Ingestion
- Workflow:ClickHouse ClickHouse Building From Source
- Workflow:Huggingface Optimum FX Graph Optimization
Principles
- Principle:ARISE Initiative Robosuite Omniverse Rendering
- Principle:Guardrails ai Guardrails Telemetry
- Principle:Microsoft Onnxruntime Source Framework Training
- Principle:Hiyouga LLaMA Factory Sequence Packing Theory
- Principle:Hiyouga LLaMA Factory Distributed Training
- Principle:Lucidrains X transformers Bidirectional Encoder Configuration
- Principle:Open compass VLMEvalKit API Model Adapter Pattern
- Principle:Mistralai Client python Function Dispatch
- Principle:Huggingface Diffusers Latent Decoding
- Principle:BerriAI Litellm Deployment Definition
Implementations
- Implementation:Infiniflow Ragflow SvgIcon Component
- Implementation:Openai Openai python Image Create Variation Params
- Implementation:Ollama Ollama Imagegen Server
- Implementation:Scikit learn contrib Imbalanced learn Package Init
- Implementation:Google deepmind Mujoco MJX Warp Collision Driver
- Implementation:FlagOpen FlagEmbedding LLM Reranker Instruction Modeling
- Implementation:OpenBMB UltraFeedback Annotation Data Loading
- Implementation:NVIDIA DALI C API V2 Pipeline Wrapper
- Implementation:Openai Evals LangChainMathChainCompletionFn
- Implementation:Open compass VLMEvalKit molmo
Heuristics
- Heuristic:Risingwavelabs Risingwave LSM Compaction Tuning
- Heuristic:Vllm project Vllm Attention Backend Selection
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
- Heuristic:DataExpert io Data engineer handbook SparkSession Singleton Pattern
- Heuristic:FlagOpen FlagEmbedding Temperature Scaling Tip
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:Obss Sahi Match Threshold Tuning
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:Kubeflow Pipelines Resource Sizing For Components
Environments
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:Openai Evals OpenAI API Configuration
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:Tensorflow Tfjs Python Converter
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Huggingface Datatrove Processing Dependencies
- Environment:Microsoft DeepSpeedExamples VisualChat Training Environment
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:Huggingface Datatrove Slurm Cluster Environment