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:Huggingface Diffusers ControlNet Guided Generation
- Workflow:DataExpert io Data engineer handbook PySpark Iceberg Job Execution
- Workflow:Huggingface Transformers Model Training With Trainer
- Workflow:Wandb Weave SDK Release
- Workflow:Danijar Dreamerv3 Single Process Training
- Workflow:Confident ai Deepeval Synthetic Dataset Generation
- Workflow:PacktPublishing LLM Engineers Handbook Model Evaluation
- Workflow:Vibrantlabsai Ragas Testset Generation
- Workflow:Explodinggradients Ragas Agent Evaluation
- Workflow:FlagOpen FlagEmbedding Embedder Inference
Principles
- Principle:Allenai Open instruct SFT Dataset Preparation
- Principle:Tensorflow Serving Manager Construction
- Principle:Truera Trulens Server Side Evaluation
- Principle:Fastai Fastbook Model Interpretation
- Principle:OpenGVLab InternVL Segmentation Decode Head
- Principle:Mit han lab Llm awq Multimodal Model Configuration
- Principle:Datajuicer Data juicer LLM Backend Configuration
- Principle:Eventual Inc Daft Arrow Export
- Principle:MarketSquare Robotframework browser Plugin Documentation Generation
- Principle:Speechbrain Speechbrain Spoken Language Understanding
Implementations
- Implementation:Apache Kafka Notes Generate
- Implementation:Risingwavelabs Risingwave CdcEngineRunner Interface
- Implementation:Openai Openai python Batch Usage Model
- Implementation:BerriAI Litellm Enterprise User Endpoints
- Implementation:Openai Openai agents python Tool Output Guardrail Decorator
- Implementation:FlagOpen FlagEmbedding LLARA Pretrain Modeling
- Implementation:Apache Shardingsphere DataChangedEvent Constructor
- Implementation:DataTalksClub Data engineering zoomcamp Ride Data Model
- Implementation:Openai Openai python Shared Function Definition
- Implementation:Lance format Lance ExecPlans
Heuristics
- Heuristic:Nightwatchjs Nightwatch Safari Parallel Limitation
- Heuristic:Haosulab ManiSkill Rendering Memory Optimization
- Heuristic:Alibaba MNN NC4HW4 Data Layout
- Heuristic:AnswerDotAI RAGatouille Index Rebuild Vs Update Decision
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Test Train Option Consistency
- Heuristic:Princeton nlp SimPO Left Truncation Strategy
- Heuristic:Heibaiying BigData Notes Hive ORC Parquet Storage Tip
Environments
- Environment:MarketSquare Robotframework browser Node Runtime
- Environment:Evidentlyai Evidently Spark Engine Environment
- Environment:LaurentMazare Tch rs Python Interop Environment
- Environment:Huggingface Transformers Python 310 Runtime
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Microsoft Autogen Python Runtime Environment
- Environment:OpenBMB UltraFeedback HuggingFace Hub Environment
- Environment:Ray project Ray Python Runtime Environment
- Environment:Iterative Dvc Python Runtime