Main Page
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:Eventual Inc Daft Data Lakehouse ETL
- Workflow:FMInference FlexLLMGen Data Wrangling Batch Inference
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:Tencent Ncnn Post Training Quantization
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:Haosulab ManiSkill RL Training with PPO
- Workflow:Apache Spark Building and Testing
Principles
- Principle:Farama Foundation Gymnasium Space Abstraction
- Principle:Rapidsai Cuml Regression Evaluation
- Principle:Webdriverio Webdriverio XPath Processing
- Principle:LLMBook zh LLMBook zh github io Causal LM Loss Computation
- Principle:PacktPublishing LLM Engineers Handbook Application Configuration Management
- Principle:OpenRLHF OpenRLHF SFT Dataset Construction
- Principle:Langgenius Dify Input Variable Definition
- Principle:Datahub project Datahub Entity Upsert
- Principle:DevExpress Testcafe CI Reporter And Artifacts
- Principle:Google deepmind Mujoco Resource Cleanup
Implementations
- Implementation:Openai Openai node Error Classes
- Implementation:OWASP Www project top 10 for large language model applications VulnerabilityEntry Extract Prevention Strategies
- Implementation:Google deepmind Dm control CMU Mocap Initializer
- Implementation:Apache Paimon FaissVectorIndexOptions Configuration
- Implementation:CrewAIInc CrewAI CrewAI RAG Adapter
- Implementation:Langgenius Dify Contract Router
- Implementation:CrewAIInc CrewAI Serply Webpage To Markdown Tool
- Implementation:FlowiseAI Flowise MarketplaceCanvasNode
- Implementation:Open compass VLMEvalKit DREAM
- Implementation:Roboflow Rf detr RFDETR Init
Heuristics
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
- Heuristic:Datahub project Datahub Docker Memory Preflight
- Heuristic:Apache Spark Hardware Provisioning Tips
- Heuristic:SeldonIO Seldon core Model Scheduling Preference Tip
- Heuristic:OWASP Www project top 10 for large language model applications SHA Pinning For GitHub Actions
- Heuristic:Hiyouga LLaMA Factory CUDA Memory Optimization
- Heuristic:Microsoft Playwright Test Stability Practices
- Heuristic:Protectai Llm guard PyTorch Compile Warmup
- Heuristic:Arize ai Phoenix Notebook Event Loop Patching
- Heuristic:Ollama Ollama Quantization Layer Selection
Environments
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Huggingface Datasets PyTorch Integration
- Environment:Sdv dev SDV Python Runtime
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API
- Environment:Shiyu coder Kronos HuggingFace Hub Access
- Environment:Datajuicer Data juicer GPU CUDA Environment