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:Facebookresearch Audiocraft EnCodec Compression Training
- Workflow:ARISE Initiative Robomimic Training Policy From Demonstrations
- Workflow:Triton inference server Server Quickstart Model Deployment
- Workflow:Apache Spark Kubernetes Deployment
- Workflow:PacktPublishing LLM Engineers Handbook Digital Data ETL
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:Recommenders team Recommenders ALS Spark Recommendation
- Workflow:Diagram of thought Diagram of thought DoT Prompt Customization
Principles
- Principle:Apache Kafka Coordinator State Loading
- Principle:Gretelai Gretel synthetics Tokenizer Training
- Principle:Datajuicer Data juicer Data Mapping Transformation
- Principle:Run llama Llama index Batch Evaluation Setup
- Principle:ClickHouse ClickHouse Code Coverage Collection
- Principle:Apache Druid Partitioning Configuration
- Principle:Roboflow Rf detr Training Loop Execution
- Principle:Langchain ai Langchain Chat Model Initialization
- Principle:Microsoft Semantic kernel Event Routing
- Principle:LaurentMazare Tch rs Transformer Architecture
Implementations
- Implementation:Openai Openai python Realtime Connect
- Implementation:Facebookresearch Audiocraft MusicGenSolver run step
- Implementation:Google deepmind Mujoco MjSpec Header
- Implementation:Junyanz Pytorch CycleGAN and pix2pix Pix2PixModel Optimize Parameters
- Implementation:Dotnet Machinelearning TrialResult Properties
- Implementation:SeleniumHQ Selenium Bootstrap Main Entry
- Implementation:TobikoData Sqlmesh LineageLayout
- Implementation:Open compass VLMEvalKit TempCompass
- Implementation:CARLA simulator Carla VehicleAckermannControl
- Implementation:BerriAI Litellm Email Alert Types
Heuristics
- Heuristic:Apache Spark Serialization Optimization
- Heuristic:Facebookresearch Audiocraft Generation Parameter Defaults
- Heuristic:Openai Whisper Compression Ratio Threshold
- Heuristic:Huggingface Datatrove Gopher Quality Thresholds
- Heuristic:Deepseek ai Janus CFG Weight Tuning
- Heuristic:SeldonIO Seldon core Kafka Partition Throughput Tip
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
- Heuristic:Volcengine Verl Sequence Length Balancing
- Heuristic:Langgenius Dify SSE Streaming Error Handling
- Heuristic:Lucidrains X transformers Flash Attention Configuration
Environments
- Environment:Huggingface Transformers BitsAndBytes Quantization Env
- Environment:Interpretml Interpret Python Core Environment
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:ARISE Initiative Robomimic Robosuite Simulation Backend
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:Intel Ipex llm vLLM XPU Serving Environment