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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:OpenHands OpenHands Organization Onboarding
- Workflow:Tencent Ncnn Image Classification Inference
- Workflow:SeldonIO Seldon core Model Explainability
- Workflow:Eric mitchell Direct preference optimization SFT Training
- Workflow:ChenghaoMou Text dedup Suffix Array Deduplication
- Workflow:Wandb Weave LLM Integration Tracing
- Workflow:Pyro ppl Pyro MCMC Inference
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Bentoml BentoML Service Definition And Local Serving
Principles
- Principle:Microsoft Playwright Assertion and Verification
- Principle:Ggml org Ggml Token Sampling
- Principle:Ollama Ollama GGUF Model Conversion Mistral Causal
- Principle:Google deepmind Mujoco Thread Pool Management
- Principle:Mlc ai Web llm RAG Pipeline
- Principle:Iamhankai Forest of Thought Argument Parsing
- Principle:Sgl project Sglang Sampling Parameters Preparation
- Principle:HKUDS AI Trader LLM Invocation
- Principle:Ggml org Llama cpp KVCacheManagement
- Principle:Microsoft Agent framework Handler Declaration
Implementations
- Implementation:NVIDIA NeMo Curator Image Convert Stage
- Implementation:Openai Openai python Multipart File Handling
- Implementation:MarketSquare Robotframework browser Wait For Navigation
- Implementation:Duckdb Duckdb PDQSort
- Implementation:Princeton nlp SimPO Apply Chat Template
- Implementation:Huggingface Datatrove Trafilatura
- Implementation:SeleniumHQ Selenium Platform
- Implementation:Microsoft Autogen Studio MCP Tools Tab
- Implementation:Alibaba MNN RapidJSON Core
- Implementation:Pola rs Polars Expr Cast and Transform
Heuristics
- Heuristic:PrefectHQ Prefect HTTP Connection Pool Tuning
- Heuristic:Astronomer Astronomer cosmos Static Parser Hang Workaround
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
- Heuristic:Guardrails ai Guardrails Guard History Memory Management
- Heuristic:Alibaba MNN GPU Tuning Modes
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Bentoml BentoML Thread Env Vars Setting
- Heuristic:DataTalksClub Data engineering zoomcamp CSV Chunk Size Optimization
- Heuristic:Testtimescaling Testtimescaling github io Hardcoded IDs vs Registry
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
Environments
- Environment:Ollama Ollama Go Runtime
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:Cypress io Cypress Browser Requirements
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:Axolotl ai cloud Axolotl CUDA GPU
- Environment:Huggingface Transformers PEFT Adapter Env