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:Testtimescaling Testtimescaling github io Adding a New Paper
- Workflow:Spotify Luigi Spark Processing Pipeline
- Workflow:Openai Openai node Realtime Conversation
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:Mit han lab Llm awq AWQ Model Evaluation
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Groq Groq python Text To Speech
- Workflow:PrefectHQ Prefect Asset Based Data Pipeline
- Workflow:CarperAI Trlx PPO Sentiment Training
- Workflow:Pytorch Serve HuggingFace Transformer Serving
Principles
- Principle:Pytorch Serve Transformer Configuration
- Principle:Nautechsystems Nautilus trader Code Quality Gating
- Principle:Ggml org Llama cpp Build Quantize Tool
- Principle:MaterializeInc Materialize Release Prerequisite Verification
- Principle:Scikit learn Scikit learn Generalized Linear Models
- Principle:Tensorflow Serving HTTP Server Implementation
- Principle:Apache Flink Fatal Exception Classification
- Principle:OWASP Www project top 10 for large language model applications Real World Incident Cross Reference
- Principle:Run llama Llama index Agent Execution
- Principle:CrewAIInc CrewAI Crew Assembly
Implementations
- Implementation:Open compass VLMEvalKit ImageMTDataset
- Implementation:Haosulab ManiSkill PegInsertionSide
- Implementation:Duckdb Duckdb Libpg Query Parser
- Implementation:Mlc ai Web llm Chat Completion Tool
- Implementation:Facebookresearch Habitat lab LabDriver init
- Implementation:Langchain ai Langchain CacheIntegrationTests
- Implementation:Cleanlab Cleanlab Datalab Find Issues
- Implementation:Anthropics Anthropic sdk python CompletionCreateParams
- Implementation:Ggml org Llama cpp Server Chat Completions
- Implementation:Infiniflow Ragflow Simple History Util
Heuristics
- Heuristic:OpenGVLab InternVL LoRA Alpha Scaling
- Heuristic:Obss Sahi Overlap Ratio Selection
- Heuristic:Huggingface Datasets Cache Fingerprinting Tips
- Heuristic:Openai Openai agents python Tool Choice Reset Prevents Loops
- Heuristic:Facebookresearch Audiocraft Chroma Conditioning Cache Requirement
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:MaterializeInc Materialize Dbt Transaction Disable
- Heuristic:Vibrantlabsai Ragas Analytics Silent Failure Pattern
- Heuristic:Openai Openai agents python Sensitive Data Logging Defaults
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
Environments
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:ARISE Initiative Robosuite GPU Rendering
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Online ml River Python Runtime Environment
- Environment:Datahub project Datahub Java Build
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Run llama Llama index OpenAI API Configuration