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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. | 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 | '''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 == | ||
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== Explore Pages == | == Explore Pages == | ||
=== Workflows === | === Workflows === | ||
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:Tencent Ncnn Object Detection Inference
- Workflow:Mlflow Mlflow Model Serving
- Workflow:SeldonIO Seldon core AB Testing Experiment
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
- Workflow:Bitsandbytes foundation Bitsandbytes 4bit QLoRA Inference
- Workflow:Run llama Llama index Data Ingestion Pipeline
- Workflow:Cleanlab Cleanlab Multiannotator Consensus
- Workflow:Openai Evals Implementing a custom completion function
- Workflow:Ggml org Llama cpp Interactive Chat
- Workflow:Liu00222 Open Prompt Injection Detection Localization Defense
Principles
- Principle:EvolvingLMMs Lab Lmms eval TUI Command Interface
- Principle:ArroyoSystems Arroyo Schema Definition
- Principle:Apache Paimon Predicate and Projection Filtering
- Principle:Huggingface Transformers Adapter Training
- Principle:Promptfoo Promptfoo Strategy Application
- Principle:Online ml River KSWIN Drift Detection
- Principle:Webdriverio Webdriverio Session Management
- Principle:Cohere ai Cohere python Finetuning Configuration
- Principle:Langchain ai Langgraph Pregel Execution Algorithm
- Principle:Online ml River Page Hinkley Drift Detection
Implementations
- Implementation:Bentoml BentoML Testing Server
- Implementation:Interpretml Interpret Sampling
- Implementation:SeldonIO Seldon core Seldon Model CRD Explainer Deploy
- Implementation:Datahub project Datahub ProtobufDescriptorUtils
- Implementation:Datajuicer Data juicer PhraseGroundingRecallFilter
- Implementation:Bentoml BentoML GRPC OpenTelemetry Interceptor
- Implementation:Mage ai Mage ai Chargebee Client
- Implementation:Avhz RustQuant HoLee
- Implementation:Hpcaitech ColossalAI NaiveExperienceMaker
- Implementation:Farama Foundation Gymnasium FlattenObservation Wrapper
Heuristics
- Heuristic:Langgenius Dify API Token Single Flight Caching
- Heuristic:Nautechsystems Nautilus trader Order Rate Limiting Configuration
- Heuristic:Togethercomputer Together python Retry Backoff Strategy
- Heuristic:Lakeraai Pint benchmark Optimal Configuration Selection
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:FlagOpen FlagEmbedding Temperature Scaling Tip
- Heuristic:Webdriverio Webdriverio Click Interception Workaround
- Heuristic:Bentoml BentoML Thread Env Vars Setting
- Heuristic:TobikoData Sqlmesh Model Change Categorization
Environments
- Environment:Cohere ai Cohere python Cohere API Credentials
- Environment:Mlflow Mlflow GPU System Metrics Environment
- Environment:ARISE Initiative Robosuite MuJoCo Python
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Protectai Llm guard ONNX Runtime Acceleration
- Environment:Scikit learn Scikit learn Python Runtime Environment
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Triton inference server Server Docker Container Build
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime