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:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Apache Beam Twister2 Batch Execution
- Workflow:Axolotl ai cloud Axolotl Multimodal Vision Finetuning
- Workflow:Unstructured IO Unstructured Document Partitioning
- Workflow:Mlflow Mlflow GenAI Evaluation
- Workflow:Cohere ai Cohere python Tool Use Agentic Chat
- Workflow:Dotnet Machinelearning GenAI Causal LM Inference
- Workflow:HKUDS AI Trader Data Pipeline
- Workflow:Online ml River Binary Classification Pipeline
- Workflow:Openai Evals Creating a model graded eval
Principles
- Principle:Google deepmind Dm control Reward Shaping
- Principle:FMInference FlexLLMGen CUDA Memory Access Patterns
- Principle:Norrrrrrr lyn WAInjectBench Binary Classifier Training
- Principle:Ggml org Llama cpp Logging System
- Principle:MaterializeInc Materialize Upgrade Scenario Selection
- Principle:Apache Shardingsphere YAML Configuration Definition
- Principle:LaurentMazare Tch rs Crate Organization
- Principle:Isaac sim IsaacGymEnvs Task Registration
- Principle:Webdriverio Webdriverio Configuration Management
- Principle:Avhz RustQuant Automatic Differentiation
Implementations
- Implementation:Google deepmind Mujoco XML Native Reader
- Implementation:Open compass VLMEvalKit OmChat
- Implementation:Ollama Ollama MLXRunner Sample
- Implementation:Open compass VLMEvalKit ChartMimic Color Evaluator
- Implementation:LMCache LMCache Audit Connector
- Implementation:Huggingface Optimum TokenClassificationProcessing
- Implementation:Guardrails ai Guardrails Guard Call Stream
- Implementation:Datahub project Datahub ProtobufDataset
- Implementation:Open compass VLMEvalKit mPLUG Owl3
- Implementation:Microsoft DeepSpeedExamples Extract Qwen VL
Heuristics
- Heuristic:Turboderp org Exllamav2 Memory Optimization Techniques
- Heuristic:OWASP Www project top 10 for large language model applications SHA Pinning For GitHub Actions
- Heuristic:Haifengl Smile Quarkus Async Context Handling
- Heuristic:Getgauge Taiko Network Interception Gotchas
- Heuristic:Apache Beam Thread Pool Parallelism Sizing
- Heuristic:Neuml Txtai Thread Safety Constraints
- Heuristic:Protectai Llm guard Token Limit Early Guard
- Heuristic:Microsoft Onnxruntime Convergence Debugging Tips
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:Wandb Weave Payload Size Limits
Environments
- Environment:OWASP Www project top 10 for large language model applications GenAI Red Team Environment
- Environment:OpenHands OpenHands SaaS Server Environment
- Environment:Allenai Open instruct Docker Container
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Datajuicer Data juicer Python Runtime Environment
- Environment:Puppeteer Puppeteer Cross Platform Browser Environment
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Pytorch Serve Distributed Training Environment