Main Page
27,667
Total Pages
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.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| 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:Teamcapybara Capybara Element Finding And Interaction
- Workflow:Mlc ai Mlc llm Model Compilation
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:Pola rs Polars SQL Query Interface
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
- Workflow:Openai Evals Running a single eval
- Workflow:Openclaw Openclaw Initial Setup And Onboarding
- Workflow:Kubeflow Pipelines Standalone Deployment
Principles
- Principle:Nightwatchjs Nightwatch Command Namespacing
- Principle:Dotnet Machinelearning Alias Method Sampling
- Principle:Alibaba MNN Diffusion Model Acquisition
- Principle:Ucbepic Docetl Operation Definition
- Principle:AUTOMATIC1111 Stable diffusion webui Network loading
- Principle:Huggingface Datasets CLI Entry Point
- Principle:Interpretml Interpret EBM Model Merging
- Principle:Langfuse Langfuse Experiment Run Creation
- Principle:Haosulab ManiSkill PPO Policy Optimization
- Principle:FMInference FlexLLMGen Runtime Utility Functions
Implementations
- Implementation:Lance format Lance Java Dataset
- Implementation:Microsoft Autogen Studio Auth Manager
- Implementation:Protectai Llm guard Sensitive
- Implementation:Marker Inc Korea AutoRAG QA Batch Apply Factoid Query Gen
- Implementation:Pyro ppl Pyro BroadcastMessenger
- Implementation:Openai Openai agents python Runner Run
- Implementation:Protectai Llm guard Config
- Implementation:HKUDS AI Trader Crypto Daily Price Data
- Implementation:CrewAIInc CrewAI Create Crew CLI
- Implementation:CARLA simulator Carla RssCheck Interface
Heuristics
- Heuristic:DataTalksClub Data engineering zoomcamp CSV Chunk Size Optimization
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Obss Sahi Auto Slice Resolution
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
- Heuristic:MarketSquare Robotframework browser Docker Chrome Security
- Heuristic:Treeverse LakeFS Batch Delay Tuning
- Heuristic:Heibaiying BigData Notes Maven Shade Packaging Tip
Environments
- Environment:Huggingface Transformers 3D Parallel Multi GPU
- Environment:TobikoData Sqlmesh GitHub CICD Runner
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:Marker Inc Korea AutoRAG GPU PyTorch Environment
- Environment:Ray project Ray Java Build Environment
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:Sgl project Sglang GitHub Actions
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime