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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:Treeverse LakeFS Write Audit Publish With Hooks
- Workflow:Huggingface Peft QLoRA SFT Finetuning
- Workflow:Cleanlab Cleanlab Datalab Dataset Audit
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:Cohere ai Cohere python Chat Completion
- Workflow:Sgl project Sglang Structured Output Generation
- Workflow:Langchain ai Langchain Tool Calling Structured Output
- Workflow:Intel Ipex llm DPO Finetuning
- Workflow:Astronomer Astronomer cosmos TaskGroup dbt integration
- Workflow:Guardrails ai Guardrails Structured Data Generation
Principles
- Principle:Avhz RustQuant Bond Pricing
- Principle:Webdriverio Webdriverio BrowserBinaryResolution
- Principle:Sktime Pytorch forecasting Positional Encoding
- Principle:LLMBook zh LLMBook zh github io Direct Preference Optimization
- Principle:Apache Kafka Coordinator Partition Unloading
- Principle:Ggml org Ggml VirtGPU Remoting
- Principle:Openclaw Openclaw Routing Verification
- Principle:Norrrrrrr lyn WAInjectBench Image Embedding Initialization
- Principle:Apache Airflow Security Review Planning
- Principle:Sdv dev SDV Sequential Model Fitting
Implementations
- Implementation:Microsoft Semantic kernel Brave Search TestData
- Implementation:Deepspeedai DeepSpeed PipelineEngine Eval Batch
- Implementation:Datajuicer Data juicer ExtractKeywordMapper
- Implementation:Intel Ipex llm Vllm Online Benchmark
- Implementation:Junyanz Pytorch CycleGAN and pix2pix Download Pretrained Model
- Implementation:Treeverse LakeFS Java SDK Model CompletePresignMultipartUpload
- Implementation:NVIDIA TransformerEngine Ops UB Forward Linear
- Implementation:Microsoft Onnxruntime LrScheduler
- Implementation:ArroyoSystems Arroyo Worker Server
- Implementation:FlagOpen FlagEmbedding MLVU Count Data
Heuristics
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:Langchain ai Langgraph Stream Mode Selection
- Heuristic:Intel Ipex llm Use Cache Training Vs Inference
- Heuristic:Apache Druid Query Error Suggestion Patterns
- Heuristic:Marker Inc Korea AutoRAG Data Format Requirements
- Heuristic:Bigscience workshop Petals KV Cache Sizing For Attention Types
- Heuristic:Vespa engine Vespa Config Polling Timeout Tuning
- Heuristic:OpenRLHF OpenRLHF Adam Offload Memory Tip
- Heuristic:Facebookresearch Audiocraft Codebook Dead Code Expiration
- Heuristic:BerriAI Litellm Retry Backoff Strategy
Environments
- Environment:CrewAIInc CrewAI LLM Provider Credentials
- Environment:Cypress io Cypress Browser Requirements
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA
- Environment:Vllm project Vllm CUDA
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:OpenGVLab InternVL PyTorch CUDA
- Environment:Bentoml BentoML Triton Inference Server
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:Dotnet Machinelearning ONNX Runtime Environment