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:Mlfoundations Open flamingo Data Preparation
- Workflow:Obss Sahi Sliced Inference Pipeline
- Workflow:Togethercomputer Together python Fine Tuning
- Workflow:SeldonIO Seldon core Model Deployment
- Workflow:Apache Hudi Flink Schema Evolution
- Workflow:Dotnet Machinelearning Text Classification
- Workflow:Apache Flink File Sink Pipeline
- Workflow:LMCache LMCache P2P KV Cache Sharing
- Workflow:NVIDIA DALI Image Classification Training PyTorch
- Workflow:NVIDIA DALI Video Processing Pipeline
Principles
- Principle:BerriAI Litellm API Dispatch
- Principle:Online ml River Estimator Validation Framework
- Principle:Huggingface Alignment handbook Config Parsing
- Principle:LaurentMazare Tch rs YOLO Object Detection
- Principle:Neuml Txtai Text Similarity
- Principle:Tensorflow Serving TFRT Inference
- Principle:Shiyu coder Kronos Prediction Visualization
- Principle:FlowiseAI Flowise Speech Processing
- Principle:Scikit learn contrib Imbalanced learn Synthetic Minority Oversampling
- Principle:Onnx Onnx Namespace Prefixing
Implementations
- Implementation:Diagram of thought Diagram of thought Problem Tag Node Record
- Implementation:Microsoft Onnxruntime CUDA GatherElementsGrad
- Implementation:SeleniumHQ Selenium WindowType
- Implementation:CARLA simulator Carla PythonUtil
- Implementation:Isaac sim IsaacGymEnvs Isaacgymenvs Make
- Implementation:Ollama Ollama FromChatRequest
- Implementation:Triton inference server Server Trtllm Build
- Implementation:Online ml River Drift DriftRetrainingClassifier
- Implementation:BerriAI Litellm Base Secret Manager
- Implementation:Scikit learn Scikit learn RandomProjection
Heuristics
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Recommenders team Recommenders SAR Cold Start Items
- Heuristic:Teamcapybara Capybara Negative Predicate Matching
- Heuristic:Neuml Txtai Llama Cpp Context Fallback
- Heuristic:PrefectHQ Prefect Retry Backoff Strategy
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:Huggingface Optimum GPTQ Quantization Defaults
- Heuristic:Volcengine Verl Layered Summon Memory Tradeoff
- Heuristic:Spcl Graph of thoughts Backoff Retry On API Errors
- Heuristic:AUTOMATIC1111 Stable diffusion webui VRAM Management Strategies
Environments
- Environment:Volcengine Verl Python Core Dependencies
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:Kserve Kserve Python Runtime
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:DataTalksClub Data engineering zoomcamp Dbt DuckDB Environment
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:FlowiseAI Flowise Docker Environment
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Arize ai Phoenix Python Runtime
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment