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'''Connect your AI coding agent.''' Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously: | '''Connect your AI coding agent.''' Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously: | ||
* [https://github.com/Leeroo-AI/superml '''SuperML plugin'''] — | * [https://github.com/Leeroo-AI/superml '''SuperML plugin'''] — converts your AI coding agent into an expert ML engineer with agentic memory | ||
* [https://github.com/Leeroo-AI/leeroopedia-mcp '''Leeroopedia MCP'''] — | * [https://github.com/Leeroo-AI/leeroopedia-mcp '''Leeroopedia MCP'''] — search over best-practices and skills of ML/AI | ||
* [https://github.com/leeroo-ai/kapso '''Kapso'''] — experimentation platform for autonomous AI/ML software building | |||
== Browse by Category == | == Browse by Category == | ||
Latest revision as of 11:45, 14 March 2026
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:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Unstructured IO Unstructured Document Partitioning
- Workflow:Langgenius Dify Visual Workflow Builder
- Workflow:Mistralai Client python Function Calling
- Workflow:Vespa engine Vespa Config subscription lifecycle
- Workflow:Farama Foundation Gymnasium Agent Evaluation Recording
- Workflow:Spcl Graph of thoughts GoT Document Merging Pipeline
- Workflow:Fede1024 Rust rdkafka At Least Once Processing
- Workflow:Deepset ai Haystack RAG Pipeline
- Workflow:Microsoft DeepSpeedExamples RLHF Training Pipeline
Principles
- Principle:Langchain ai Langgraph Agent State Schema
- Principle:Ollama Ollama LLM Memory Architecture
- Principle:Cypress io Cypress Configuration Scaffolding
- Principle:Haifengl Smile Inference Request Processing
- Principle:Ggml org Ggml Quantization Block Formats
- Principle:AnswerDotAI RAGatouille Model Training
- Principle:Apache Flink Format Factory SPI
- Principle:Vespa engine Vespa ABI Compatibility Specification
- Principle:Marker Inc Korea AutoRAG Test Dataset Evaluation
- Principle:Datajuicer Data juicer Correlation Analysis
Implementations
- Implementation:Mlflow Mlflow Scorer Class
- Implementation:Mage ai Mage ai Destination Process
- Implementation:TobikoData Sqlmesh FactoryColumn
- Implementation:Ggml org Llama cpp Llama Model Quantize Params
- Implementation:Mlc ai Mlc llm Llama Loader
- Implementation:Huggingface Datasets Load Dataset Builder
- Implementation:MaterializeInc Materialize MaterializeAdapter Relations
- Implementation:Kserve Kserve OpenAI Completions API
- Implementation:Microsoft Playwright FfPage
- Implementation:NVIDIA TransformerEngine Normalization C API
Heuristics
- Heuristic:Huggingface Datasets Parquet Shard Sizing
- Heuristic:Scikit learn Scikit learn Random State Management
- Heuristic:Unstructured IO Unstructured PDF Element Sorting
- Heuristic:OpenRLHF OpenRLHF Value Head ZeRO3 Init Tip
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
- Heuristic:Duckdb Duckdb Memory Management Rules
- Heuristic:Snorkel team Snorkel DataParallel Default Behavior
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Duckdb Duckdb Version Sync Across Files
- Heuristic:Neuml Txtai Llama Cpp Context Fallback
Environments
- Environment:Tensorflow Tfjs Node Native Runtime
- Environment:Apache Spark Kubernetes Runtime
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment
- Environment:Vespa engine Vespa POSIX Mmap Log Control
- Environment:Alibaba ROLL CUDA GPU Environment
- Environment:Openai Openai python Voice Helpers
- Environment:Alibaba MNN Python Export Environment
- Environment:Huggingface Alignment handbook Python TRL
- Environment:Kserve Kserve Kubernetes Cluster