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:Truera Trulens RAG With Guardrails
- Workflow:Huggingface Diffusers LoRA Finetuning
- Workflow:SeldonIO Seldon core Inference Pipeline
- Workflow:TobikoData Sqlmesh Environment management
- Workflow:Openai Openai node Structured Output Parsing
- Workflow:Microsoft Onnxruntime Train Convert Predict
- Workflow:ChenghaoMou Text dedup SimHash Deduplication
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:OpenRLHF OpenRLHF PPO Ray Training
- Workflow:Run llama Llama index Embedding Finetuning
Principles
- Principle:Pola rs Polars Aggregation Expression Building
- Principle:Evidentlyai Evidently Grafana Visualization
- Principle:CrewAIInc CrewAI Tool Implementation
- Principle:ARISE Initiative Robosuite HDF5 Dataset Aggregation
- Principle:Intel Ipex llm RAG Chain Assembly
- Principle:Haosulab ManiSkill PPO Policy Optimization
- Principle:Scikit learn Scikit learn Covariance Estimation
- Principle:Rapidsai Cuml Time Series Forecasting
- Principle:Unstructured IO Unstructured Ingest Processing Configuration
- Principle:TA Lib Ta lib python Version Compatibility
Implementations
- Implementation:CrewAIInc CrewAI Tool Collection
- Implementation:OpenRLHF OpenRLHF KDTrainer
- Implementation:Webdriverio Webdriverio MSPO Optimizer
- Implementation:Neuml Txtai IVFSparse ANN
- Implementation:Evidentlyai Evidently Legacy Target Drift Preset
- Implementation:Cypress io Cypress Vitest Config
- Implementation:CARLA simulator Carla RawData
- Implementation:Openai Openai node QS Stringify
- Implementation:Zai org CogVideo Captioning Requirements Install
- Implementation:Evidentlyai Evidently Legacy Sentence Count Feature
Heuristics
- Heuristic:OpenHands OpenHands Redis Distributed Locking
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Interpretml Interpret Memory Budget Heuristic
- Heuristic:Fastai Fastbook Embedding Size Rule
- Heuristic:Huggingface Transformers Dataloader Pin Memory NonBlocking
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Mit han lab Llm awq Kernel Selection Thresholds
Environments
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Helicone Helicone Node 20 TypeScript Runtime
- Environment:OpenGVLab InternVL Flash Attention 2
- Environment:Facebookresearch Habitat lab Python 3 9 Core Dependencies
- Environment:OpenGVLab InternVL PEFT LoRA
- Environment:Obss Sahi Python Pycocotools
- Environment:Farama Foundation Gymnasium Python 3 10 Runtime
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Sdv dev SDV Python Runtime
- Environment:Vespa engine Vespa Docker OCI Container Runtime