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:Rapidsai Cuml Random Forest Training And Inference
- Workflow:Getgauge Taiko Network Request Interception
- Workflow:Heibaiying BigData Notes HBase Java CRUD Operations
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
- Workflow:Ggml org Ggml Model Conversion And Quantization
- Workflow:Volcengine Verl Data Preprocessing For RL
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:NVIDIA NeMo Curator Semantic Deduplication
- Workflow:Mbzuai oryx Awesome LLM Post training Awesome List Curation
Principles
- Principle:Webdriverio Webdriverio ErrorHandling
- Principle:LaurentMazare Tch rs NumPy Format IO
- Principle:HKUDS AI Trader Frontend Transaction Display
- Principle:Turboderp org Exllamav2 Model Weight Loading
- Principle:PrefectHQ Prefect DataFrame Transformation
- Principle:Kornia Kornia Descriptor Matching
- Principle:Nightwatchjs Nightwatch Configuration Setup
- Principle:Ggml org Ggml Training Data Loading
- Principle:Snorkel team Snorkel Probabilistic Label Generation
- Principle:Openai Evals Multiple Choice Evaluation
Implementations
- Implementation:Ollama Ollama MLXRunner Sample
- Implementation:Langfuse Langfuse SlackService
- Implementation:Pyro ppl Pyro Vindex
- Implementation:CrewAIInc CrewAI Code Interpreter Tool
- Implementation:ChenghaoMou Text dedup MinHash LSH Cluster
- Implementation:Hpcaitech ColossalAI Trainer Callback Base
- Implementation:Turboderp org Exllamav2 ExLlamaV2StreamingGenerator
- Implementation:Scikit learn Scikit learn SequentialFeatureSelector
- Implementation:Apache Shardingsphere VersionPersistService SwitchActiveVersion
- Implementation:NVIDIA DALI Legacy TF Op
Heuristics
- Heuristic:Langfuse Langfuse ClickHouse FINAL Skip Optimization
- Heuristic:NVIDIA TransformerEngine FP8 Checkpoint Compatibility
- Heuristic:Iamhankai Forest of Thought Tree Iteration Scaling
- Heuristic:SeleniumHQ Selenium Cross Binding Consistency Check
- Heuristic:Protectai Modelscan Graceful Scanner Degradation
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
- Heuristic:Vibrantlabsai Ragas Nest Asyncio Uvloop Compatibility
- Heuristic:Langgenius Dify SQL Escape Backslash First
- Heuristic:Microsoft Agent framework Tool Approval Mode Production
- Heuristic:Openai Evals Event Batching Configuration
Environments
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop
- Environment:Google research Deduplicate text datasets Python TFDS Environment
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Teamcapybara Capybara Ruby And Gem Dependencies
- Environment:Vllm project Vllm Intel XPU
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:Kubeflow Kubeflow Git GitHub Environment