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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.
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| 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:Datahub project Datahub CLI Metadata Ingestion
- Workflow:Onnx Onnx Reference Evaluation
- Workflow:SeleniumHQ Selenium Contributor Development Workflow
- Workflow:Elevenlabs Elevenlabs python Realtime TTS Streaming
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Iamhankai Forest of Thought FoT Benchmark Evaluation
- Workflow:Isaac sim IsaacGymEnvs Domain Randomization Training
- Workflow:ContextualAI HALOs Model Evaluation
- Workflow:Google deepmind Mujoco Simulation benchmarking
- Workflow:Mlc ai Web llm Chrome Extension Integration
Principles
- Principle:Risingwavelabs Risingwave CDC Schema History
- Principle:Cleanlab Cleanlab Sklearn Compatible PyTorch Classifier
- Principle:Run llama Llama index Finetuned Model Integration
- Principle:Ggml org Ggml Remote Procedure Call Computation
- Principle:Deepspeedai DeepSpeed Sequence Parallel Attention
- Principle:DevExpress Testcafe Runner Creation
- Principle:Risingwavelabs Risingwave Test Coverage Assurance
- Principle:Pyro ppl Pyro Autoregressive Networks
- Principle:BerriAI Litellm Cache Lookup
- Principle:Kubeflow Kubeflow Pull Request Submission
Implementations
- Implementation:Puppeteer Puppeteer Function Util
- Implementation:Pytorch Serve Stable Diffusion Handler
- Implementation:Tensorflow Tfjs LayersModel Save
- Implementation:Microsoft Autogen Studio Fetch Webpage Tool
- Implementation:Marker Inc Korea AutoRAG Load Yaml Config
- Implementation:Interpretml Interpret ConvertAddBin
- Implementation:Infiniflow Ragflow Docker Prerequisites Check
- Implementation:Huggingface Datasets CsvDatasetReader
- Implementation:Webdriverio Webdriverio FirefoxProfile Types
- Implementation:Zai org CogVideo SAT Training Main
Heuristics
- Heuristic:Arize ai Phoenix Adaptive Rate Limiting
- Heuristic:Openclaw Openclaw Config Cascade Resolution
- Heuristic:Microsoft Autogen Warning Deprecated JSON Env Files
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
- Heuristic:Trailofbits Fickling Race Condition Prevention
- Heuristic:Apache Kafka JVM GC Tuning Defaults
- Heuristic:Lucidrains X transformers Gradient Clipping And Accumulation
Environments
- Environment:Langgenius Dify Python Backend Environment
- Environment:Unslothai Unsloth Python Transformers
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:Testtimescaling Testtimescaling github io GitHub Actions Runner
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:Gretelai Gretel synthetics Python Base Environment
- Environment:Datahub project Datahub Frontend Build
- Environment:DataExpert io Data engineer handbook PostgreSQL Docker Environment