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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:DataTalksClub Data engineering zoomcamp Docker PostgreSQL Data Ingestion
- Workflow:Diagram of thought Diagram of thought DoT Iterative Reasoning
- Workflow:Cypress io Cypress Local Development Environment
- Workflow:PacktPublishing LLM Engineers Handbook Dataset Generation
- Workflow:Open compass VLMEvalKit Image Benchmark Evaluation
- Workflow:MarketSquare Robotframework browser Browser Test Authoring
- Workflow:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:Cleanlab Cleanlab Classification Label Issue Detection
- Workflow:Predibase Lorax Single LoRA Inference
- Workflow:Apache Dolphinscheduler Datasource Connection Management
Principles
- Principle:Mlflow Mlflow Model Loading
- Principle:Eric mitchell Direct preference optimization Log Probability Extraction
- Principle:Langgenius Dify Internationalization
- Principle:PrefectHQ Prefect Flow Run Querying
- Principle:Interpretml Interpret Data Exploration
- Principle:Kubeflow Kubeflow Feature Development Tracking
- Principle:Cleanlab Cleanlab Regression Noise Robust Training
- Principle:Scikit learn Scikit learn Model Instantiation
- Principle:Ucbepic Docetl Optimized Pipeline Review
- Principle:Microsoft Playwright Add Assertions
Implementations
- Implementation:OpenGVLab InternVL TextVQAAccuracyEvaluator
- Implementation:AnswerDotAI RAGatouille RAGPretrainedModel Search
- Implementation:Webdriverio Webdriverio Service Lifecycle Hooks Pattern
- Implementation:Ucbepic Docetl AIChatPanel
- Implementation:Hiyouga LLaMA Factory Multimodal Plugin
- Implementation:Webdriverio Webdriverio Selector Testing
- Implementation:NVIDIA TransformerEngine Gemma Load TE Model
- Implementation:Pyro ppl Pyro Vindex
- Implementation:Tensorflow Serving Docker Push To Registry
- Implementation:Microsoft LoRA NLU Setup Py
Heuristics
- Heuristic:DistrictDataLabs Yellowbrick Matplotlib rcParams Management
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
- Heuristic:Sktime Pytorch forecasting Target Normalization Transforms
- Heuristic:Facebookresearch Audiocraft Audio Normalization Strategies
- Heuristic:Marker Inc Korea AutoRAG OpenAI Rate Limit Mitigation
- Heuristic:ArroyoSystems Arroyo Stateful Operator TTL
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Cypress io Cypress Global Install Warning
- Heuristic:Roboflow Rf detr Small Dataset Oversampling
Environments
- Environment:Roboflow Rf detr Roboflow Deployment Credentials
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:Mlc ai Mlc llm TVM Runtime Environment
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:CARLA simulator Carla Simulation Runtime
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:Openai CLIP Python Dependencies
- Environment:Mit han lab Llm awq Flash Attention Environment