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:Microsoft Playwright Network mocking and interception
- Workflow:SeldonIO Seldon core Model Deployment
- Workflow:Kubeflow Pipelines Pipeline Authoring and Compilation
- Workflow:Datajuicer Data juicer Text Data Processing Pipeline
- Workflow:Tensorflow Tfjs Sequential Model Training
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
- Workflow:DataExpert io Data engineer handbook Dimensional Data Modeling Environment Setup
Principles
- Principle:Guardrails ai Guardrails HubPackageManagement
- Principle:Apache Flink File Commit Finalization
- Principle:Online ml River Adaptive Random Forest
- Principle:Intel Ipex llm RAG With LlamaIndex
- Principle:Eventual Inc Daft Struct And List Access
- Principle:Togethercomputer Together python Batch Input Preparation
- Principle:Spotify Luigi Distributed Processing
- Principle:Iamhankai Forest of Thought BFS Forest Solving
- Principle:Speechbrain Speechbrain TTS Inference Pipeline
- Principle:Norrrrrrr lyn WAInjectBench Dynamic Detector Loading Image
Implementations
- Implementation:ArroyoSystems Arroyo Home Page
- Implementation:Farama Foundation Gymnasium InvertedDoublePendulumEnv V5
- Implementation:NVIDIA TransformerEngine Permutation C API
- Implementation:Infiniflow Ragflow Embedding Function
- Implementation:MaterializeInc Materialize CLI Orchestratord
- Implementation:Datajuicer Data juicer OPERATORS Register Module
- Implementation:Apache Paimon Ray Data Read Json
- Implementation:Puppeteer Puppeteer Cdp Tracing
- Implementation:InternLM Lmdeploy Gemm ThreadGroupMap
- Implementation:MaterializeInc Materialize Helm Chart Version Bump
Heuristics
- Heuristic:Getgauge Taiko Browser Launch Flags
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:Helicone Helicone Cost Precision Multiplier
- Heuristic:Vibrantlabsai Ragas Warning Deprecated Legacy LLM Wrappers
- Heuristic:Haifengl Smile Quarkus Async Context Handling
- Heuristic:Apache Airflow Database Lock Handling
- Heuristic:CARLA simulator Carla Traffic Manager Sync Mode
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Ray project Ray NaN Score Filtering In PBT
- Heuristic:Unstructured IO Unstructured Chunk Size Tuning
Environments
- Environment:Gretelai Gretel synthetics TensorFlow GPU Environment
- Environment:Huggingface Datatrove IO Dependencies
- Environment:Openai Openai python Realtime WebSocket
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:ClickHouse ClickHouse CI Docker Environment
- Environment:OpenRLHF OpenRLHF Flash Attention Environment
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Huggingface Transformers BitsAndBytes Quantization Env