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:Ray project Ray Remote Task Execution
- Workflow:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:Intel Ipex llm QLoRA Finetuning
- Workflow:ContextualAI HALOs Reward Model Training
- Workflow:Langgenius Dify Plugin Installation and Configuration
- Workflow:PeterL1n BackgroundMattingV2 Realtime webcam matting
- Workflow:Sgl project Sglang Structured Output Generation
- Workflow:DistrictDataLabs Yellowbrick Feature Analysis and Selection
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
Principles
- Principle:Deepset ai Haystack Retrieval MAP Evaluation
- Principle:Tencent Ncnn Dependency Free Build
- Principle:ARISE Initiative Robosuite Gripper Testing
- Principle:Treeverse LakeFS Retention Rule Configuration
- Principle:Pytorch Serve Cloud Deployment
- Principle:Iamhankai Forest of Thought Expression Validation
- Principle:Deepseek ai Janus Prompt Formatting for Flow Generation
- Principle:Infiniflow Ragflow Agent Creation
- Principle:Nightwatchjs Nightwatch Command Namespacing
- Principle:Haosulab ManiSkill CPU GPU Dual Backend
Implementations
- Implementation:Openai Openai node Audio Resource
- Implementation:Puppeteer Puppeteer Frame Evaluate
- Implementation:Openai Openai python Response Input Image
- Implementation:CARLA simulator Carla Command DestroyActor
- Implementation:Explodinggradients Ragas PydanticPrompt Class
- Implementation:Huggingface Datasets SqlDatasetReader
- Implementation:Googleapis Python genai TuningDataset Setup
- Implementation:Sgl project Sglang CPU MoE
- Implementation:Google deepmind Mujoco MjSpec Header
- Implementation:Huggingface Datasets Exceptions
Heuristics
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
- Heuristic:Bigscience workshop Petals Randomized Rebalancing Intervals
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Datahub project Datahub Gradle Task Only
- Heuristic:Neuml Txtai MacOS OpenMP Workaround
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:ARISE Initiative Robomimic Checkpoint Selection Strategy
- Heuristic:Apache Beam Watermark Update Throttling
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:Triton inference server Server Documentation Standards
Environments
- Environment:Neuml Txtai Python Core Dependencies
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Snorkel team Snorkel Dask Distributed
- Environment:Google deepmind Dm control EGL Headless Rendering
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Openai CLIP PyTorch CUDA Runtime
- Environment:Intel Ipex llm XPU Finetuning Environment