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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:Alibaba ROLL Agentic RL Training Pipeline
- Workflow:CarperAI Trlx ILQL Offline Training
- Workflow:Openai Openai node Structured Output Parsing
- Workflow:HKUDS AI Trader Multi Agent Comparison
- Workflow:Webdriverio Webdriverio Cloud Service Integration
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:Lm sys FastChat Distributed Model Serving
- Workflow:Open compass VLMEvalKit Adding Custom VLM
- Workflow:ArroyoSystems Arroyo Local Pipeline Execution
- Workflow:Apache Beam Local Pipeline Execution
Principles
- Principle:NVIDIA NeMo Curator File Partitioning
- Principle:Evidentlyai Evidently Text Descriptor Configuration
- Principle:Tensorflow Tfjs Data Preprocessing Layers
- Principle:Deepset ai Haystack LLM Chat Generation
- Principle:AUTOMATIC1111 Stable diffusion webui UI Architecture
- Principle:Ggml org Llama cpp Logging System
- Principle:Microsoft Semantic kernel Process Framework Frontend
- Principle:Romsto Speculative Decoding Autoregressive Generation
- Principle:Nautechsystems Nautilus trader Instrument Registration
- Principle:Huggingface Datasets Extension Module Mapping
Implementations
- Implementation:Risingwavelabs Risingwave JDBCSinkFactory
- Implementation:Neuml Txtai Explain
- Implementation:Datajuicer Data juicer DetectCharacterLocationsMapper
- Implementation:Run llama Llama index OnDemandLoaderTool
- Implementation:LaurentMazare Tch rs Adam Build
- Implementation:Ollama Ollama Convert Lfm2
- Implementation:Google deepmind Mujoco Glad Header
- Implementation:Apache Paimon BinaryRow
- Implementation:Openai Openai node Node ESM Auto Lockfile
- Implementation:Sgl project Sglang Kernel Ops Header
Heuristics
- Heuristic:Facebookresearch Audiocraft Codebook Dead Code Expiration
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Mlflow Mlflow Model Signature Inference Tips
- Heuristic:OpenBMB UltraFeedback Position Bias Mitigation
- Heuristic:Romsto Speculative Decoding Filler Top K Tuning
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:SeldonIO Seldon core Autoscaling Dual Config Tip
- Heuristic:Dagster io Dagster Batch Size Tuning
- Heuristic:Obss Sahi Confidence Threshold Setting
- Heuristic:Deepset ai Haystack Embedding Batch Size And Prefix
Environments
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Interpretml Interpret Visualization Environment
- Environment:Openai Openai agents python Memory Extensions Dependencies
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:Mlflow Mlflow GPU System Metrics Environment
- Environment:Allenai Open instruct Docker Container
- Environment:Pyro ppl Pyro CUDA GPU Acceleration
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:Huggingface Transformers BitsAndBytes Quantization Env