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1,118
Workflows
7,697
Principles
16,832
Implementations
1,245
Heuristics
909
Environments
Welcome to Leeroopedia
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:Explodinggradients Ragas Test Data Generation
- Workflow:MaterializeInc Materialize dbt Integration
- Workflow:Pola rs Polars Time Series Analysis
- Workflow:Helicone Helicone Cost Calculation Pipeline
- Workflow:MaterializeInc Materialize Integration Test Development
- Workflow:Facebookresearch Habitat lab Agent Benchmarking
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:PeterL1n BackgroundMattingV2 Realtime webcam matting
- Workflow:Togethercomputer Together python Image Generation
Principles
- Principle:BerriAI Litellm Model Selection
- Principle:Deepset ai Haystack Context Relevance Evaluation
- Principle:Tensorflow Tfjs Convolutional Neural Networks
- Principle:Arize ai Phoenix Prompt Retrieval
- Principle:Hpcaitech ColossalAI Distributed Model Inference
- Principle:InternLM Lmdeploy Multimodal Inference
- Principle:Facebookresearch Audiocraft Training Checkpoint Resolution
- Principle:Apache Flink Enriched Row Composition
- Principle:PrefectHQ Prefect Human Approval Gate
- Principle:Ray project Ray Deployment Class Definition
Implementations
- Implementation:Datajuicer Data juicer VideoResizeAspectRatioMapper
- Implementation:CrewAIInc CrewAI Snowflake Search Tool
- Implementation:Ollama Ollama XTools Registry
- Implementation:Predibase Lorax Bloom Modeling
- Implementation:Infiniflow Ragflow DatasetFilter Component
- Implementation:MarketSquare Robotframework browser Locator Handler Grpc Handlers
- Implementation:Hpcaitech ColossalAI Zero Bubble Consumer
- Implementation:NVIDIA NeMo Curator Modify Module
- Implementation:Huggingface Transformers Setup Py
- Implementation:Scikit learn Scikit learn ClassicalMDS
Heuristics
- Heuristic:Huggingface Datasets Shuffle Buffer Sizing
- Heuristic:SeldonIO Seldon core Model Scheduling Preference Tip
- Heuristic:Huggingface Peft RSLoRA Scaling
- Heuristic:Mlc ai Web llm Grammar Matcher Reuse
- Heuristic:Openai Openai node Browser Safety Guard
- Heuristic:LLMBook zh LLMBook zh github io Reward Model LM Regularization
- Heuristic:OpenRLHF OpenRLHF vLLM Embedding Resize Warning
- Heuristic:Risingwavelabs Risingwave Stream Chunk Sizing
- Heuristic:Microsoft Agent framework Tool Approval Mode Production
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
Environments
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:Shiyu coder Kronos PyTorch CUDA Environment
- Environment:Deepspeedai DeepSpeed CUDA GPU Environment
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Obss Sahi Python Image Processing
- Environment:Microsoft Onnxruntime CUDA GPU Environment
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Run llama Llama index Python LlamaIndex Core