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:FlowiseAI Flowise Chatflow Creation
- Workflow:LaurentMazare Tch rs JIT Model Inference
- Workflow:Bigscience workshop Petals Distributed Text Generation
- Workflow:Microsoft Playwright Network mocking and interception
- Workflow:Groq Groq python Chat Completion
- Workflow:Eric mitchell Direct preference optimization DPO Preference Training
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:InternLM Lmdeploy W8A8 SmoothQuant Quantization
- Workflow:Langgenius Dify Docker Deployment
- Workflow:Openai Openai agents python Streaming Agent Execution
Principles
- Principle:Explodinggradients Ragas Prompt Persistence
- Principle:OpenGVLab InternVL Preference Data Construction
- Principle:Huggingface Alignment handbook Supervised Finetuning
- Principle:Pytorch Serve Inference Handler Development
- Principle:DataExpert io Data engineer handbook Scalar UDF Enrichment
- Principle:Langgenius Dify Single Node Testing
- Principle:Cleanlab Cleanlab Sklearn Compatible PyTorch Classifier
- Principle:Vespa engine Vespa Embedding Generation
- Principle:Datajuicer Data juicer Custom Operator Configuration
- Principle:Ggml org Llama cpp Batch Processing
Implementations
- Implementation:Sgl project Sglang SM100 MLA TMA WarpSpecialized
- Implementation:Infiniflow Ragflow Health Check System
- Implementation:Mit han lab Llm awq Get calib dataset
- Implementation:Deepspeedai DeepSpeed DeepSpeedInferenceConfig Init
- Implementation:Teamcapybara Capybara Minitest Assertions
- Implementation:Microsoft Onnxruntime OnnxTensor JNI
- Implementation:Alibaba MNN CMake Build Converter
- Implementation:Deepspeedai DeepSpeed Conversion Utils
- Implementation:SeleniumHQ Selenium FederatedCredentialManagementDialog
- Implementation:NVIDIA NeMo Curator VideoTasks
Heuristics
- Heuristic:Wandb Weave Sentinel Value Handling
- Heuristic:Mlc ai Mlc llm BLAS Dispatch Decision
- Heuristic:BerriAI Litellm Streaming Loop Detection
- Heuristic:Apache Beam Executor Shutdown Ordering
- Heuristic:BerriAI Litellm Cooldown Threshold Tuning
- Heuristic:Nautechsystems Nautilus trader Inflight Order Check Threshold
- Heuristic:Lance format Lance Fragment Sizing Strategy
- Heuristic:Fastai Fastbook Learning Rate Finder Rule
- Heuristic:Openai Evals Thread Tuning
- Heuristic:Zai org CogVideo Training Hyperparameter Defaults
Environments
- Environment:Openai Openai node Node 20 Runtime
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:Ggml org Llama cpp CUDA GPU Environment
- Environment:Interpretml Interpret Blackbox Explainer Dependencies
- Environment:Vllm project Vllm CUDA Hopper
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Ucbepic Docetl Frontend Node Environment
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Microsoft Semantic kernel OpenAI API Environment