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:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:Openai Openai node Fine Tuning
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Marker Inc Korea AutoRAG Data Creation Pipeline
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:Openclaw Openclaw Multi Agent Routing
Principles
- Principle:Nautechsystems Nautilus trader Strategy Configuration
- Principle:LLMBook zh LLMBook zh github io High Throughput LLM Inference
- Principle:Avhz RustQuant Generalized Black Scholes Merton
- Principle:Apache Paimon Ingestion Verification
- Principle:Spotify Luigi Web Visualiser Monitoring
- Principle:Togethercomputer Together python Document Reranking
- Principle:Duckdb Duckdb Function Registration Generation
- Principle:Sail sg LongSpec Benchmark Data Preparation
- Principle:Kubeflow Kubeflow Development And Testing
- Principle:Pyro ppl Pyro Probabilistic Modeling
Implementations
- Implementation:Apache Spark Release Build Publish
- Implementation:Scikit learn Scikit learn LogisticRegression Init
- Implementation:CARLA simulator Carla MapBuilder
- Implementation:Apache Paimon View
- Implementation:LMCache LMCache SageMaker HyperPod Adapter
- Implementation:ARISE Initiative Robosuite RobotBaseModel
- Implementation:Neuml Txtai Production Deployment Tools
- Implementation:Huggingface Datasets Dataset Sort
- Implementation:Speechbrain Speechbrain AMI Splits
- Implementation:Marker Inc Korea AutoRAG Validator Validate
Heuristics
- Heuristic:Microsoft Agent framework Typed Agent Options Pattern
- Heuristic:Deepseek ai Janus Bfloat16 Operation Workarounds
- Heuristic:Getgauge Taiko Network Interception Gotchas
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:CARLA simulator Carla Behavior Agent Profiles
- Heuristic:Teamcapybara Capybara Frozen Time Detection
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:Microsoft Onnxruntime Threading Configuration Tips
- Heuristic:Truera Trulens Rate Limiting And Retry Strategy
Environments
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Gretelai Gretel synthetics TensorFlow GPU Environment
- Environment:Sgl project Sglang Performance Dashboard
- Environment:Vllm project Vllm AMD ROCm
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:Ray project Ray Java Build Environment
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Predibase Lorax CUDA GPU Runtime