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== Welcome to {{SITENAME}} == | == Welcome to {{SITENAME}} == | ||
'''Your ML & Data Knowledge Wiki.''' | '''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: | |||
* [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'''] — 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 == | ||
| Line 15: | Line 44: | ||
! Category !! Description !! Browse | ! Category !! Description !! Browse | ||
|- | |- | ||
| '''Workflows''' || Step-by-step processes and procedures || [[Special:AllPages/Workflow:|Browse All]] | || '''Workflows''' || Step-by-step processes and procedures || [[Special:AllPages/Workflow:|Browse All]] | ||
|- | |- | ||
| '''Principles''' || Core ideas and foundational knowledge || [[Special:AllPages/Principle:|Browse All]] | || '''Principles''' || Core ideas and foundational knowledge || [[Special:AllPages/Principle:|Browse All]] | ||
|- | |- | ||
| '''Implementations''' || Code-level details and modules || [[Special:AllPages/Implementation:|Browse All]] | || '''Implementations''' || Code-level details and modules || [[Special:AllPages/Implementation:|Browse All]] | ||
|- | |- | ||
| '''Heuristics''' || Best practices and guidelines || [[Special:AllPages/Heuristic:|Browse All]] | || '''Heuristics''' || Best practices and guidelines || [[Special:AllPages/Heuristic:|Browse All]] | ||
|- | |- | ||
| '''Environments''' || Setup and configuration guides || [[Special:AllPages/Environment:|Browse All]] | || '''Environments''' || Setup and configuration guides || [[Special:AllPages/Environment:|Browse All]] | ||
|} | |} | ||
== | == Explore Pages == | ||
=== Workflows === | === Workflows === | ||
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=== Principles === | === Principles === | ||
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=== Implementations === | === Implementations === | ||
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=== Heuristics === | === Heuristics === | ||
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=== Environments === | === Environments === | ||
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Latest revision as of 11:45, 14 March 2026
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:Huggingface Transformers Model Training With Trainer
- Workflow:Volcengine Verl Supervised Fine Tuning
- Workflow:Rapidsai Cuml Random Forest Training And Inference
- Workflow:Haosulab ManiSkill Sim2Real Deployment
- Workflow:Apache Beam Local Pipeline Execution
- Workflow:TA Lib Ta lib python Installation And Setup
- Workflow:Openai Evals Implementing a custom completion function
- Workflow:Facebookresearch Habitat lab Custom Task Extension
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:Protectai Llm guard API Server Deployment
Principles
- Principle:Vespa engine Vespa Indexing Expression Execution
- Principle:Microsoft Onnxruntime Distributed Training Loop
- Principle:Apache Shardingsphere Configuration Parameter Construction
- Principle:LLMBook zh LLMBook zh github io BPE Tokenization
- Principle:Langchain ai Langgraph Serialization Protocol
- Principle:Heibaiying BigData Notes Spark TempView and SQL
- Principle:Kornia Kornia Tensor Image Conversion
- Principle:Google deepmind Dm control MJCF Model Export
- Principle:NVIDIA TransformerEngine Drop In Linear Replacement
- Principle:Ggml org Llama cpp Model Serialization
Implementations
- Implementation:SeleniumHQ Selenium DevTools AddListener
- Implementation:OpenHands OpenHands GitlabManager
- Implementation:Neuml Txtai Explain
- Implementation:Huggingface Transformers DeviceMesh Construction
- Implementation:Speechbrain Speechbrain Prepare AMI
- Implementation:BerriAI Litellm RAG Types
- Implementation:Mlc ai Mlc llm Calibrate Interface
- Implementation:Mage ai Mage ai Destination Process
- Implementation:Sktime Pytorch forecasting EnEmbedding
- Implementation:InternLM Lmdeploy Gemm SmemCopy
Heuristics
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:NVIDIA NeMo Aligner Adam State Offloading Tip
- Heuristic:Facebookresearch Habitat lab Force Single Threaded PyTorch
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
- Heuristic:Microsoft Onnxruntime Memory Recomputation Optimization
- Heuristic:Kubeflow Kubeflow Issue Routing To Sub Repos
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
- Heuristic:Anthropics Anthropic sdk python Model Deprecation Awareness
- Heuristic:Vespa engine Vespa Log Level Inheritance Polling
- Heuristic:LLMBook zh LLMBook zh github io BF16 Mixed Precision Default
Environments
- Environment:Lance format Lance Cloud Storage Credentials
- Environment:Arize ai Phoenix Phoenix Server Runtime
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Huggingface Peft BitsAndBytes Quantization
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Trailofbits Fickling PyTorch
- Environment:Arize ai Phoenix LLM Provider SDKs
- Environment:Treeverse LakeFS LakeFS Server Environment