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:SeleniumHQ Selenium Contributor Development Workflow
- Workflow:Facebookresearch Habitat lab Rearrangement HRL Training
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:Zai org CogVideo Video Captioning
- Workflow:Openai Openai python Realtime Conversation
- Workflow:Zai org CogVideo Diffusers Image to Video Inference
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:Ggml org Llama cpp OpenAI Compatible Server
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Pytorch Serve Model Deployment
Principles
- Principle:NVIDIA TransformerEngine Complete Transformer Layer
- Principle:NVIDIA TransformerEngine Drop In Linear Replacement
- Principle:Huggingface Datasets Image Feature Handling
- Principle:Sdv dev SDV Cardinality Analysis
- Principle:Openclaw Openclaw Credential Acquisition
- Principle:Sktime Pytorch forecasting Time Series Dataset Construction
- Principle:LaurentMazare Tch rs ImageNet Preprocessing
- Principle:SqueezeAILab ETS ETS Tree Search
- Principle:Neuml Txtai Index Persistence
- Principle:Ggml org Ggml RAII Resource Management
Implementations
- Implementation:ArroyoSystems Arroyo Session Window
- Implementation:Huggingface Transformers Pip Install Transformers
- Implementation:Webdriverio Webdriverio Node Utils
- Implementation:Protectai Llm guard Output Code
- Implementation:Isaac sim IsaacGymEnvs Matplotlib3DPlotter
- Implementation:SeleniumHQ Selenium Closure UI ControlRenderer
- Implementation:Axolotl ai cloud Axolotl SwanLab Custom Trainer Profiling
- Implementation:Open compass VLMEvalKit CreationMMBenchDataset
- Implementation:Speechbrain Speechbrain Get Verification Scores
- Implementation:Open compass VLMEvalKit MMHelix Kakuro Eval
Heuristics
- Heuristic:AnswerDotAI RAGatouille Searcher Configuration By Collection Size
- Heuristic:FlagOpen FlagEmbedding Warning Deprecated Search Demo
- Heuristic:NVIDIA NeMo Curator Semantic Dedup Cluster Sizing
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Adam Beta1 Half
- Heuristic:ContextualAI HALOs TF32 Matmul Acceleration
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:Datahub project Datahub Warning Deprecated Spark Lineage Legacy
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Test Train Option Consistency
Environments
- Environment:Promptfoo Promptfoo Node Runtime
- Environment:Langfuse Langfuse Docker Infrastructure
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:DataExpert io Data engineer handbook Python Development Environment
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:Huggingface Optimum GPTQ Quantization Environment
- Environment:Huggingface Alignment handbook Python Datasets
- Environment:Huggingface Datasets Search Dependencies
- Environment:Guardrails ai Guardrails Docker Server Runtime
- Environment:Marker Inc Korea AutoRAG API Keys Configuration