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:Unstructured IO Unstructured Chunking And Embedding
- Workflow:Apache Flink File Source Pipeline
- Workflow:Langfuse Langfuse Evaluation pipeline
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:Mistralai Client python Function Calling
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Apache Paimon Vector Similarity Search
- Workflow:Hiyouga LLaMA Factory PPO RLHF Training
- Workflow:Farama Foundation Gymnasium Agent Evaluation Recording
- Workflow:NVIDIA NeMo Aligner Reward Model Training
Principles
- Principle:Ucbepic Docetl Blocking Threshold Optimization
- Principle:Predibase Lorax Constrained Decoding
- Principle:Ucbepic Docetl Output Management
- Principle:Axolotl ai cloud Axolotl FSDP Weight Consolidation
- Principle:Getgauge Taiko Gauge Environment Configuration
- Principle:Confident ai Deepeval Context Generation
- Principle:Microsoft Agent framework Conditional Routing
- Principle:DataTalksClub Data engineering zoomcamp Kestra Data Extraction
- Principle:Avhz RustQuant Instrument Abstraction
- Principle:FlowiseAI Flowise Chatflow Security Configuration
Implementations
- Implementation:Haosulab ManiSkill RecordEpisode Wrapper
- Implementation:InternLM Lmdeploy CudaUtils
- Implementation:BerriAI Litellm Fine Tuning Job Operations
- Implementation:Open compass VLMEvalKit mPLUG Owl2
- Implementation:Run llama Llama index ToolNodeMapping
- Implementation:Langchain ai Langgraph Typing Module
- Implementation:Junyanz Pytorch CycleGAN and pix2pix TestModel Forward
- Implementation:Arize ai Phoenix Create Evaluator Decorator
- Implementation:Promptfoo Promptfoo Logger
- Implementation:FlagOpen FlagEmbedding BGE Coder FAISS Search
Heuristics
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Treeverse LakeFS Presigned URL Expiry Tip
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:Haosulab ManiSkill GPU Memory Buffer Tuning
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:Fede1024 Rust rdkafka Transaction Error Recovery
- Heuristic:DevExpress Testcafe Docker Chrome Tab Retry
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:PacktPublishing LLM Engineers Handbook Dataset Generation Quality Filters
Environments
- Environment:DataExpert io Data engineer handbook Statsig API Environment
- Environment:Run llama Llama index Fsspec Remote Storage
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Kserve Kserve Leader Worker Set
- Environment:OpenRLHF OpenRLHF CUDA GPU Environment
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API
- Environment:Marker Inc Korea AutoRAG Python 3 10 Runtime
- Environment:Iamhankai Forest of Thought OpenAI API Credentials
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:Microsoft Autogen Studio Server Environment