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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 |
Explore Pages
Workflows
- Workflow:Princeton nlp Tree of thought llm Baseline comparison
- Workflow:Anthropics Anthropic sdk python Streaming Message Interaction
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:Avdvg InjectGuard Vector Similarity Detection Pipeline
- Workflow:FlowiseAI Flowise Evaluation Pipeline
- Workflow:Apache Spark Release Process
- Workflow:Apache Druid Streaming Ingestion Management
- Workflow:LaurentMazare Tch rs LLM Text Generation
- Workflow:Mlflow Mlflow Model Serving
- Workflow:Mlc ai Web llm Text Embeddings And RAG
Principles
- Principle:PrefectHQ Prefect HTML Fetching
- Principle:Apache Flink Bucket Assignment
- Principle:OpenGVLab InternVL DDP Gradient Compression
- Principle:Kornia Kornia Grayscale Conversion
- Principle:Eventual Inc Daft Delta Lake Reading
- Principle:Online ml River Dummy Baseline Estimation
- Principle:Interpretml Interpret SHAP Tree Explanation
- Principle:Deepspeedai DeepSpeed Checkpoint Management
- Principle:Datahub project Datahub Deployment Verification
- Principle:Online ml River DataFrame Stream Ingestion
Implementations
- Implementation:OpenHands OpenHands Input
- Implementation:SeldonIO Seldon core Seldon Model CRD Explainer
- Implementation:Microsoft Playwright TraceV5
- Implementation:Confident ai Deepeval TaskCompletionMetric
- Implementation:Run llama Llama index RichPromptTemplate
- Implementation:Dagster io Dagster Asset Decorator
- Implementation:Volcengine Verl RewardManager Compute Reward
- Implementation:Treeverse LakeFS Java SDK BranchesApi
- Implementation:FlowiseAI Flowise FlowListMenu
- Implementation:Infiniflow Ragflow Log Utils
Heuristics
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:Mage ai Mage ai HTTP Error Classification
- Heuristic:Princeton nlp SimPO Left Truncation Strategy
- Heuristic:Pytorch Serve Batch Size Tuning
- Heuristic:Iamhankai Forest of Thought Input Length Overflow Recovery
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Datahub project Datahub Secret Handling And Deprecation Patterns
- Heuristic:Groq Groq python Error Handling Hierarchy
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
Environments
- Environment:Zai org CogVideo Diffusers Inference Environment
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:Ray project Ray Python Runtime Environment
- Environment:Unslothai Unsloth Llama Cpp
- Environment:Norrrrrrr lyn WAInjectBench OpenAI API Credentials
- Environment:Haosulab ManiSkill Real Robot LeRobot Deps
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:Vespa engine Vespa Docker OCI Container Runtime
- Environment:Pola rs Polars Rust Build Environment