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:Avhz RustQuant Yield Curve Construction
- Workflow:Webdriverio Webdriverio Page Object Pattern
- Workflow:ARISE Initiative Robomimic Trained Policy Evaluation
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:Langgenius Dify Plugin Installation and Configuration
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:Apache Druid SQL Based Data Ingestion
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:DataTalksClub Data engineering zoomcamp dlt Data Ingestion
- Workflow:Openai Openai node Audio Processing
Principles
- Principle:Kubeflow Pipelines Recursive Sub Pipelines
- Principle:Puppeteer Puppeteer Page Creation
- Principle:Webdriverio Webdriverio Framework Abstraction
- Principle:Spcl Graph of thoughts Graph of Operations Construction
- Principle:Allenai Open instruct GRPO Checkpointing
- Principle:Tensorflow Serving TFRT Model Management
- Principle:Guardrails ai Guardrails Observability
- Principle:Cohere ai Cohere python Tool Function Execution
- Principle:Haifengl Smile Inference Request Processing
- Principle:Webdriverio Webdriverio Plugin Resolution
Implementations
- Implementation:Predibase Lorax Response Type
- Implementation:Bentoml BentoML Framework EasyOCR
- Implementation:Mage ai Mage ai GitHub Client
- Implementation:Pytorch Serve ModelArchiverConfig
- Implementation:Huggingface Datasets Dataset Flatten
- Implementation:Togethercomputer Together python Voices List
- Implementation:Ggml org Llama cpp Server Main
- Implementation:SeleniumHQ Selenium Closure Testing Mock
- Implementation:Deepspeedai DeepSpeed PipelineModule Init
- Implementation:Microsoft Playwright Generate Channels
Heuristics
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:Promptfoo Promptfoo Retry With Jitter
- Heuristic:Apache Dolphinscheduler Datasource Cache Expiry
- Heuristic:Haifengl Smile BFGS Convergence Tuning
- Heuristic:Google deepmind Dm control Physics Timestep Configuration
- Heuristic:ARISE Initiative Robosuite Domain Randomization Tuning
- Heuristic:Apache Beam Thread Pool Parallelism Sizing
- Heuristic:Spotify Luigi Parameter Propagation Decorators
- Heuristic:Microsoft LoRA Scaling Factor Alpha Over R
Environments
- Environment:Lucidrains X transformers PyTorch CUDA
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:Bigscience workshop Petals CUDA Server
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Ray project Ray Java Build Environment
- Environment:Tensorflow Tfjs Python Converter
- Environment:Risingwavelabs Risingwave Python Tooling Environment
- Environment:Alibaba MNN Python Export Environment
- Environment:Run llama Llama index Python LlamaIndex Core