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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 |
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Workflows
- Workflow:Treeverse LakeFS Data Version Control With Branches
- Workflow:PeterL1n BackgroundMattingV2 Model export
- Workflow:Risingwavelabs Risingwave Docker Deployment
- Workflow:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:HKUDS AI Trader End to End US Stock Trading
- Workflow:Roboflow Rf detr ONNX Export
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Vllm project Vllm Multi LoRA Serving
Principles
- Principle:Huggingface Open r1 GRPO Training
- Principle:DistrictDataLabs Yellowbrick Residual Analysis
- Principle:SeleniumHQ Selenium DevTools Connection Establishment
- Principle:Huggingface Trl PPO Model Saving and Evaluation
- Principle:Mlc ai Web llm Tool Execution Loop
- Principle:Apache Dolphinscheduler State Reconciliation
- Principle:Huggingface Peft LoRA Configuration
- Principle:Ollama Ollama AgentArchitecture
- Principle:Rapidsai Cuml UMAP Development Tooling
- Principle:AnswerDotAI RAGatouille Training Data Preparation
Implementations
- Implementation:Allenai Open instruct Human Eval Compute Metrics
- Implementation:Sgl project Sglang Common Extension Registration
- Implementation:TobikoData Sqlmesh Information
- Implementation:Zai org CogVideo I2V Pipeline Configuration
- Implementation:Bentoml BentoML GRPC OpenTelemetry Interceptor
- Implementation:Openclaw Openclaw PluginsConfig SkillsConfig Types
- Implementation:Turboderp org Exllamav2 Util
- Implementation:Lance format Lance MemWalIndex
- Implementation:Huggingface Datatrove MinhashDedupFilter
- Implementation:ClickHouse ClickHouse Poco HTTPResponse
Heuristics
- Heuristic:Facebookresearch Audiocraft Generation Parameter Defaults
- Heuristic:Vllm project Vllm KV Cache Block Size Selection
- Heuristic:Tensorflow Serving Servable Handle Lifetime
- Heuristic:Guardrails ai Guardrails Sentence Tokenizer Optimization
- Heuristic:Openai Openai agents python Default Max Turns Safety Limit
- Heuristic:Openai Openai node Browser Safety Guard
- Heuristic:Microsoft Agent framework PowerFx Python Version Limit
- Heuristic:Deepset ai Haystack Document Splitting Defaults
- Heuristic:Openai CLIP Class Name Curation
- Heuristic:ContextualAI HALOs Online Round Budgeting
Environments
- Environment:LLMBook zh LLMBook zh github io Data Processing Environment
- Environment:Astronomer Astronomer cosmos Kubernetes Provider
- Environment:Evidentlyai Evidently Python Core Environment
- Environment:Iterative Dvc DVC Environment Variables
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:Dotnet Machinelearning Dotnet SDK And Runtime
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:Huggingface Datatrove Processing Dependencies
- Environment:Mlfoundations Open flamingo WebDataset Training Dependencies
- Environment:Interpretml Interpret Visualization Environment