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:Groq Groq python Chat Completion
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:CARLA simulator Carla Simulation Recording and Replay
- Workflow:MarketSquare Robotframework browser Browser Test Authoring
- Workflow:LaurentMazare Tch rs JIT Model Inference
- Workflow:AnswerDotAI RAGatouille In Memory Retrieval
- Workflow:DistrictDataLabs Yellowbrick Cluster Analysis
- Workflow:Spotify Luigi Hadoop MapReduce Pipeline
- Workflow:Openai Openai node Audio Processing
- Workflow:Triton inference server Server Model Performance Tuning
Principles
- Principle:Elevenlabs Elevenlabs python Audio Playback
- Principle:FMInference FlexLLMGen GEMM Performance Testing
- Principle:Scikit learn contrib Imbalanced learn Balanced Bagging
- Principle:Facebookresearch Audiocraft Audio Dataset Preparation
- Principle:Lucidrains X transformers Package Installation
- Principle:Pola rs Polars DataFrame Output Conversion
- Principle:OpenRLHF OpenRLHF Pairwise Ranking Loss
- Principle:Kornia Kornia Differentiable Training Augmentation
- Principle:Langchain ai Langgraph Error Handling
- Principle:Online ml River SNARIMAX Forecasting
Implementations
- Implementation:Interpretml Interpret Random
- Implementation:Isaac sim IsaacGymEnvs Rotation3D
- Implementation:MarketSquare Robotframework browser Device Descriptors Keywords
- Implementation:CrewAIInc CrewAI Knowledge Storage Search
- Implementation:Evidentlyai Evidently Dataset From Pandas With Descriptors
- Implementation:Infiniflow Ragflow DatasetActionCell Component
- Implementation:Mistralai Client python FineTuningJobs Create
- Implementation:Ucbepic Docetl BookmarksPanel
- Implementation:Googleapis Python genai Operations Converters
- Implementation:Volcengine Verl Multimodal Rollout Request
Heuristics
- Heuristic:Datahub project Datahub Validation Cross API
- Heuristic:CrewAIInc CrewAI Rate Limiting Strategy
- Heuristic:Helicone Helicone Rate Limiting Fail Open
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
- Heuristic:Deepset ai Haystack Logging Auto Detection
- Heuristic:AUTOMATIC1111 Stable diffusion webui NaN Detection And Precision Fixes
- Heuristic:Zai org CogVideo Scheduler and Guidance Selection
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:Sdv dev SDV Version Compatibility
Environments
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Farama Foundation Gymnasium Python 3 10 Runtime
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Openai Openai agents python Python 3 9 Runtime
- Environment:Huggingface Trl Quantization Environment
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:Guardrails ai Guardrails OpenTelemetry Tracing
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:Online ml River Build Toolchain
- Environment:Kserve Kserve GPU Accelerator