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:NVIDIA NeMo Curator Text Curation Pipeline
- Workflow:Hpcaitech ColossalAI RAG Application
- Workflow:Obss Sahi COCO Dataset Slicing
- Workflow:DistrictDataLabs Yellowbrick Model Selection and Tuning
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
- Workflow:Pola rs Polars Data IO and Format Conversion
- Workflow:Recommenders team Recommenders Algorithm Benchmarking
- Workflow:Kornia Kornia Image Feature Matching
- Workflow:Huggingface Datasets Format Conversion
- Workflow:Puppeteer Puppeteer Cross Browser Automation
Principles
- Principle:Apache Shardingsphere Active Version Switching
- Principle:Langgenius Dify SecurityValidation
- Principle:Kserve Kserve TrainedModel Registration
- Principle:Openai Openai node Tool Loop Resolution
- Principle:Neuml Txtai Multi Vector Encoding
- Principle:Langgenius Dify ReactPatterns
- Principle:Ggml org Llama cpp Android Inference
- Principle:Huggingface Diffusers Pipeline Level Quantization
- Principle:Bigscience workshop Petals Autoregressive Generation
- Principle:Webdriverio Webdriverio BrowserStack Capability Management
Implementations
- Implementation:Bentoml BentoML Buildx Backend
- Implementation:Microsoft Playwright APIRequestContext Fetch
- Implementation:Iterative Dvc Repo Imp Db
- Implementation:Fede1024 Rust rdkafka Message Trait Methods
- Implementation:BerriAI Litellm Search API Router
- Implementation:Cleanlab Cleanlab Multilabel Issue Manager
- Implementation:Infiniflow Ragflow DatasetCommonItem Component
- Implementation:Lance format Lance Java ReserveFragmentsOp
- Implementation:AUTOMATIC1111 Stable diffusion webui Resize Handle
- Implementation:Facebookresearch Habitat lab Rearrange V2 World
Heuristics
- Heuristic:HKUDS AI Trader Linear Retry Backoff
- Heuristic:Langgenius Dify Workflow Draft Hash Sync
- Heuristic:Kornia Kornia Gradient Detach Stability
- Heuristic:PeterL1n BackgroundMattingV2 Mixed Precision Training
- Heuristic:Datahub project Datahub Docker Memory Preflight
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:Lance format Lance IO Buffer And Batch Sizing
- Heuristic:Marker Inc Korea AutoRAG Batch Size Tuning
- Heuristic:Lance format Lance Warning Deprecated Java APIs
- Heuristic:Langchain ai Langchain Warning Deprecated Langchain Classic
Environments
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API
- Environment:Tensorflow Tfjs Python Converter
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:Kserve Kserve Kubernetes Cluster
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:FlowiseAI Flowise Node Runtime Environment