Main Page
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:FMInference FlexLLMGen Data Wrangling Batch Inference
- Workflow:Openai Openai node Fine Tuning
- Workflow:Microsoft Playwright Trace recording and debugging
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
- Workflow:Wandb Weave SDK Release
- Workflow:Pytorch Serve Model Deployment
- Workflow:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
- Workflow:Arize ai Phoenix Trace Ingestion Pipeline
- Workflow:Deepspeedai DeepSpeed AutoTP Training
Principles
- Principle:Apache Spark Container Image Build
- Principle:Microsoft LoRA NLG Evaluation Metrics
- Principle:Lm sys FastChat Elo Rating Analysis
- Principle:Obss Sahi Model Weight Download
- Principle:Eventual Inc Daft UDF Metrics
- Principle:Tensorflow Tfjs Activation Functions
- Principle:Cleanlab Cleanlab Label Issue Filtering
- Principle:Norrrrrrr lyn WAInjectBench Model Serialization
- Principle:ArroyoSystems Arroyo Connection Profile Management
- Principle:Microsoft Agent framework Agent Specialization
Implementations
- Implementation:Facebookresearch Habitat lab LabDriver init
- Implementation:Risingwavelabs Risingwave Ad CTR Generator
- Implementation:CARLA simulator Carla WalkerAIController Class
- Implementation:Bigscience workshop Petals ModuleContainer Create
- Implementation:Apache Beam Pipeline Create
- Implementation:Treeverse LakeFS Java SDK Model ImportCreation
- Implementation:PrefectHQ Prefect Pyproject Configuration
- Implementation:Treeverse LakeFS Java SDK OpenAPI Spec
- Implementation:Huggingface Trl AutoModelForSequenceClassification From Pretrained
- Implementation:Googleapis Python genai Sphinx SearchTools
Heuristics
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
- Heuristic:Princeton nlp SimPO Hyperparameter Tuning
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:Bentoml BentoML Worker Count Strategy
- Heuristic:Ggml org Ggml Quantization Type Selection
- Heuristic:Cohere ai Cohere python ToolCallV2 Auto UUID Override
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:SeleniumHQ Selenium FindElements For Absence Check
- Heuristic:Duckdb Duckdb PR Submission Strategy
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
Environments
- Environment:Astronomer Astronomer cosmos Cosmos Airflow Configuration
- Environment:Cypress io Cypress Browser Requirements
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Lance format Lance Rust Toolchain
- Environment:Openclaw Openclaw Node 22 Runtime
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Wandb Weave LLM Integration Dependencies
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Run llama Llama index Python LlamaIndex Core