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:OpenBMB UltraFeedback Dataset Construction
- Workflow:Haifengl Smile Data Loading Pipeline
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:Protectai Llm guard LLM Input Output Scanning
- Workflow:Webdriverio Webdriverio WDIO Testrunner Setup
- Workflow:LMCache LMCache KV Cache Offloading
- Workflow:Bitsandbytes foundation Bitsandbytes 4bit QLoRA Inference
- Workflow:Lance format Lance Vector Search Pipeline
- Workflow:Cleanlab Cleanlab Datalab Dataset Audit
- Workflow:Pyro ppl Pyro Bayesian Regression
Principles
- Principle:OWASP Www project top 10 for large language model applications Automated Quality Feedback
- Principle:Tensorflow Serving JSON Request Formatting
- Principle:LLMBook zh LLMBook zh github io GPTQ Quantization
- Principle:Microsoft Autogen Graph Construction
- Principle:Googleapis Python genai Cache Management
- Principle:Spotify Luigi Container Job Execution
- Principle:Teamcapybara Capybara Browser Specialization
- Principle:Neuml Txtai Workflow Composition
- Principle:Isaac sim IsaacGymEnvs Results Collection
- Principle:FMInference FlexLLMGen Distributed Checkpoint Management
Implementations
- Implementation:ArroyoSystems Arroyo Avro Deserializer
- Implementation:Apache Shardingsphere ShowProcessListHandler Handle
- Implementation:Cohere ai Cohere python ConnectorsClient
- Implementation:Microsoft Autogen Studio Eval Runners
- Implementation:Guardrails ai Guardrails AsyncValidatorService
- Implementation:Recommenders team Recommenders Amazon Reviews
- Implementation:Ggml org Ggml Ggml opt dataset init
- Implementation:Scikit learn Scikit learn RandomProjection
- Implementation:Cypress io Cypress System Test Runner
- Implementation:CrewAIInc CrewAI Crew Kickoff
Heuristics
- Heuristic:NVIDIA NeMo Aligner Higher Stability Log Probs
- Heuristic:Apache Beam Warning Deprecated Twister2 Runner
- Heuristic:Google deepmind Dm control Prop Settling Physics Tuning
- Heuristic:Duckdb Duckdb Test Development Guidelines
- Heuristic:Explodinggradients Ragas Deprecation Migration Guide
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
- Heuristic:Google deepmind Dm control Physics Timestep Configuration
- Heuristic:Zai org CogVideo LoRA Configuration Tips
- Heuristic:Sgl project Sglang Attention Backend Selection
- Heuristic:Microsoft Playwright Timeout Configuration Tips
Environments
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Romsto Speculative Decoding CUDA PyTorch
- Environment:Mit han lab Llm awq VILA Multimodal Environment
- Environment:Cypress io Cypress Browser Requirements
- Environment:Apache Beam Portable Runner Environment
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Ray project Ray Docker GPU Environment