Main Page
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:OpenBMB UltraFeedback Completion Generation
- Workflow:Anthropics Anthropic sdk python Tool Use Integration
- Workflow:MarketSquare Robotframework browser API Testing via Browser
- Workflow:Nautechsystems Nautilus trader Strategy development
- Workflow:Dagster io Dagster DSPy Optimization
- Workflow:Mage ai Mage ai API Source Extraction
- Workflow:Googleapis Python genai Model Fine Tuning
- Workflow:Kubeflow Pipelines XGBoost Training Pipeline
- Workflow:Microsoft Agent framework Agent With Tool Approval
- Workflow:Kubeflow Pipelines Pipeline Control Flow
Principles
- Principle:Isaac sim IsaacGymEnvs Robot Controller Configuration
- Principle:Kubeflow Pipelines Reusable Component Loading
- Principle:Norrrrrrr lyn WAInjectBench LoRA Adapter Injection
- Principle:Lm sys FastChat Elo Rating Analysis
- Principle:Alibaba ROLL MCoreAdapter Distributed Training
- Principle:Puppeteer Puppeteer Web Worker Interaction
- Principle:DataExpert io Data engineer handbook Aggregation Transformation
- Principle:Lakeraai Pint benchmark Balanced Accuracy Scoring
- Principle:Huggingface Datatrove Document Level Statistics
- Principle:Apache Shardingsphere Persistence Facade Construction
Implementations
- Implementation:Googleapis Python genai Tunings Get
- Implementation:NVIDIA TransformerEngine JAX Triton Utils
- Implementation:Infiniflow Ragflow Singleton Decorator
- Implementation:Scikit learn Scikit learn RandomProjection
- Implementation:Avhz RustQuant Calendar
- Implementation:Ggml org Llama cpp CLIP Model
- Implementation:SeleniumHQ Selenium DevTools Command
- Implementation:Ray project Ray RuntimeContext
- Implementation:Evidentlyai Evidently Legacy Sentence Count Feature
- Implementation:Danijar Dreamerv3 Make Env
Heuristics
- Heuristic:Huggingface Trl Distributed Device Map Override
- Heuristic:Cohere ai Cohere python Warning Deprecated Legacy Generate API
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:Heibaiying BigData Notes Kafka Consumer Offset Strategy Tip
- Heuristic:Cypress io Cypress Xvfb Display Gotcha
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:Bentoml BentoML Adaptive Batching Tuning
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Neuml Txtai Faiss Index Sizing Tip
Environments
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Togethercomputer Together python API Credentials
- Environment:FMInference FlexLLMGen NVMe Disk
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:TobikoData Sqlmesh Python Runtime
- Environment:Avdvg InjectGuard CUDA GPU
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Unstructured IO Unstructured GitHub Actions