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:OpenBMB UltraFeedback Dataset Construction
- Workflow:Huggingface Transformers PEFT Adapter Integration
- Workflow:Sail sg LongSpec GLIDE Draft Model Training
- Workflow:MaterializeInc Materialize Release Process
- Workflow:Elevenlabs Elevenlabs python Speech to Text Transcription
- Workflow:OpenRLHF OpenRLHF Rejection Sampling
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
- Workflow:Interpretml Interpret Model Explanation And Visualization
Principles
- Principle:Eventual Inc Daft Data Aggregation
- Principle:Microsoft Playwright Execute API Requests
- Principle:OWASP Www project top 10 for large language model applications Dependency Hash Pinning Verification
- Principle:Vllm project Vllm OpenAI Client Integration
- Principle:MaterializeInc Materialize Version Bumping
- Principle:Google deepmind Mujoco Newton Solver
- Principle:Apache Shardingsphere SPI Builder Loading
- Principle:Pola rs Polars Data Output Validation
- Principle:Protectai Llm guard REST API Scanning Endpoints
- Principle:FMInference FlexLLMGen Offloaded Text Generation
Implementations
- Implementation:Microsoft Autogen TeamManager LiteStudio
- Implementation:Tencent Ncnn GPU Instance And Device
- Implementation:Farama Foundation Gymnasium VectorEnv Step Reset
- Implementation:Apache Flink DataGeneratorSource
- Implementation:Protectai Llm guard Input Language
- Implementation:Huggingface Datatrove RegexFilter
- Implementation:Openai Whisper Split To Word Tokens
- Implementation:Ucbepic Docetl Directive DeterministicDocCompression
- Implementation:Hpcaitech ColossalAI Cpp Extension
- Implementation:CrewAIInc CrewAI Enterprise API Spec Ko
Heuristics
- Heuristic:Mlfoundations Open flamingo Loss Masking Strategy
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Huggingface Alignment handbook Sequence Packing Strategy
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Promptfoo Promptfoo WAL Mode Network Filesystem
- Heuristic:CrewAIInc CrewAI MCP Timeout And Retry Strategy
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
- Heuristic:Unstructured IO Unstructured Hi Res Model Configuration
- Heuristic:Openai Evals Event Batching Configuration
- Heuristic:Trailofbits Fickling Severity Threshold Selection
Environments
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:PacktPublishing LLM Engineers Handbook Python 3 11 Poetry Environment
- Environment:Langfuse Langfuse S3 Compatible Storage
- Environment:Bigscience workshop Petals Python Transformers
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Python Environment