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:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:Microsoft Onnxruntime On Device Training
- Workflow:Hpcaitech ColossalAI RAG Application
- Workflow:Togethercomputer Together python Chat Completion
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
- Workflow:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:ContextualAI HALOs Reward Model Training
- Workflow:Norrrrrrr lyn WAInjectBench Embedding Classifier Training
Principles
- Principle:Ollama Ollama Structured Output
- Principle:Mlflow Mlflow Tracking Environment Configuration
- Principle:Openai Openai python Chat Message Construction
- Principle:Langgenius Dify Internationalization
- Principle:OpenGVLab InternVL Streamlit Chat Interface
- Principle:Hiyouga LLaMA Factory Rotary Position Embedding
- Principle:Open compass VLMEvalKit Environment Setup
- Principle:Langgenius Dify Security
- Principle:Isaac sim IsaacGymEnvs Environment Creation
- Principle:Turboderp org Exllamav2 Benchmark Evaluation
Implementations
- Implementation:Mistralai Client python FineTuningJobs Start Cancel
- Implementation:Arize ai Phoenix Evals Tracing
- Implementation:Deepspeedai DeepSpeed DeepSpeedEngine Save For TP
- Implementation:AUTOMATIC1111 Stable diffusion webui User Metadata Editor
- Implementation:Isaac sim IsaacGymEnvs PBT Process Backend
- Implementation:Rapidsai Cuml Seasonality Test
- Implementation:Deepset ai Haystack FileTypeRouter
- Implementation:Infiniflow Ragflow ChunkCard Component
- Implementation:Isaac sim IsaacGymEnvs DR Utils Random Samples
- Implementation:Google deepmind Mujoco Platform Renderer
Heuristics
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
- Heuristic:Scikit learn Scikit learn Feature Scaling Numerical Stability
- Heuristic:Openai Evals Model Graded Eval Design
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Langgenius Dify Extension Initialization Order
- Heuristic:Iterative Dvc Path Performance Optimization
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:Guardrails ai Guardrails Guard History Memory Management
- Heuristic:Microsoft Semantic kernel Function Choice Behavior Selection
- Heuristic:Huggingface Datasets Parquet Shard Sizing
Environments
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Heibaiying BigData Notes Spark 2 4 Environment
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements
- Environment:Kserve Kserve Cert Manager
- Environment:Spotify Luigi AWS S3 Storage
- Environment:Getgauge Taiko Docker Container
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:Bentoml BentoML Python Runtime
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment
- Environment:Vllm project Vllm Python