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:Mlc ai Web llm Chrome Extension Integration
- Workflow:Kubeflow Kubeflow Contributing To Kubeflow
- Workflow:Huggingface Datasets Dataset Streaming
- Workflow:Langchain ai Langgraph Human in the Loop Agent
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Apache Druid Visual Data Exploration
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:Haifengl Smile Nearest Neighbor Search
Principles
- Principle:CARLA simulator Carla Actor Spawning
- Principle:Langgenius Dify Node Level Testing
- Principle:CARLA simulator Carla Simulation Replay
- Principle:SeldonIO Seldon core Usage Metrics Publishing
- Principle:Microsoft Autogen Tool Event Processing
- Principle:Datajuicer Data juicer Column Wise Distribution Analysis
- Principle:Huggingface Diffusers Video Input Preparation
- Principle:CARLA simulator Carla Simulator Packaging
- Principle:Apache Spark SQL Documentation Generation
- Principle:Togethercomputer Together python Dataset Preparation
Implementations
- Implementation:Avhz RustQuant LinearRegression
- Implementation:ArroyoSystems Arroyo Udfs Resource Tab
- Implementation:Alibaba MNN RapidJSON Encodings
- Implementation:ClickHouse ClickHouse Glibc Compatibility
- Implementation:Huggingface Datasets Load Dataset Streaming
- Implementation:Truera Trulens Block Output Decorator
- Implementation:OpenHands OpenHands SlackManager
- Implementation:OpenRLHF OpenRLHF PPOTrainer fit
- Implementation:Spcl Graph of thoughts SortingPrompter
- Implementation:OWASP Www project top 10 for large language model applications TranslationPublisher Publish
Heuristics
- Heuristic:Heibaiying BigData Notes Hive ORC Parquet Storage Tip
- Heuristic:DistrictDataLabs Yellowbrick Matplotlib rcParams Management
- Heuristic:Ucbepic Docetl Optimizer Sample Sizes
- Heuristic:Mlflow Mlflow Async Logging Best Practices
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:Farama Foundation Gymnasium Render Mode Selection Guide
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
- Heuristic:Liu00222 Open Prompt Injection Cosine Similarity Segmentation Threshold
- Heuristic:Roboflow Rf detr Layer Wise LR Decay
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
Environments
- Environment:Kserve Kserve Istio Service Mesh
- Environment:Volcengine Verl Python Core Dependencies
- Environment:Sgl project Sglang CPU
- Environment:Evidentlyai Evidently LLM Evaluation Environment
- Environment:AUTOMATIC1111 Stable diffusion webui Xformers Attention
- Environment:Ucbepic Docetl Frontend Node Environment
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Mistralai Client python Python SDK Environment
- Environment:Apache Druid Druid Operator Kubernetes
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas