Main Page
27,667
Total Pages
1,118
Workflows
7,697
Principles
16,832
Implementations
1,245
Heuristics
909
Environments
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:LLMBook zh LLMBook zh github io DPO Alignment
- Workflow:Webdriverio Webdriverio Cucumber BDD Testing
- Workflow:TobikoData Sqlmesh Incremental model development
- Workflow:Huggingface Diffusers Text to Image Inference
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:Promptfoo Promptfoo Red Team Security Scan
- Workflow:Dagster io Dagster Bluesky Analytics
- Workflow:Langgenius Dify Plugin Management
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
- Workflow:Lance format Lance Dataset Lifecycle
Principles
- Principle:Protectai Llm guard Sensitive Data Detection
- Principle:Scikit learn Scikit learn Train Test Splitting
- Principle:Webdriverio Webdriverio CapabilityIntrospection
- Principle:DistrictDataLabs Yellowbrick Prediction Error Analysis
- Principle:Dagster io Dagster Declarative Automation
- Principle:Huggingface Open r1 Supervised Fine Tuning
- Principle:Elevenlabs Elevenlabs python Text Source Preparation
- Principle:Haosulab ManiSkill Trajectory Replay Conversion
- Principle:Huggingface Diffusers Training Validation
- Principle:LaurentMazare Tch rs Tensor Indexing Operations
Implementations
- Implementation:Marker Inc Korea AutoRAG ApiRunner Run Api Server
- Implementation:Pola rs Polars Collect Streaming Engine
- Implementation:Cohere ai Cohere python ConnectorOAuth Model
- Implementation:SeleniumHQ Selenium Urls
- Implementation:Anthropics Anthropic sdk python Messages Parse
- Implementation:Kserve Kserve Kafka ImageTransformer
- Implementation:Microsoft Autogen Agbench CLI
- Implementation:Treeverse LakeFS ImportLocation Configuration
- Implementation:Evidentlyai Evidently SDK Datasets
- Implementation:Openai Openai python Input Tokens Count
Heuristics
- Heuristic:Mlc ai Web llm Penalty Parameter Defaults
- Heuristic:DevExpress Testcafe CDP Performance Monitoring
- Heuristic:Roboflow Rf detr Small Dataset Oversampling
- Heuristic:Google deepmind Mujoco Thread Pool Configuration
- Heuristic:Google deepmind Mujoco MJX Feature Compatibility
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:Protectai Llm guard Fail Fast Early Exit
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
- Heuristic:Microsoft Semantic kernel Telemetry Log Level Configuration
Environments
- Environment:DataExpert io Data engineer handbook Statsig API Environment
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Lakeraai Pint benchmark Python 310 With Pandas
- Environment:Hpcaitech ColossalAI CUDA GPU Environment
- Environment:Ray project Ray Python Runtime Environment
- Environment:SeleniumHQ Selenium Selenium Manager Runtime
- Environment:Microsoft BIPIA Python CUDA GPU Environment
- Environment:Ggml org Llama cpp Metal GPU Environment