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Principles
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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:FlowiseAI Flowise Document Store Ingestion
- Workflow:NVIDIA TransformerEngine FP8 Training Quickstart
- Workflow:OpenGVLab InternVL Supervised Finetuning
- Workflow:FMInference FlexLLMGen Single GPU Offloaded Inference
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:Openai Evals Implementing a custom completion function
- Workflow:Elevenlabs Elevenlabs python Text to Speech Generation
Principles
- Principle:Mlc ai Web llm Grammar Constrained Decoding
- Principle:Tencent Ncnn SSD Object Detection
- Principle:Mage ai Mage ai Schema Validation
- Principle:Mbzuai oryx Awesome LLM Post training Progressive Json Saving
- Principle:Openai Evals Completion Function Protocol
- Principle:Cleanlab Cleanlab Datalab Multilabel Label Issue Detection
- Principle:Zai org CogVideo Video Tokenization
- Principle:Cypress io Cypress Headless Test Execution
- Principle:Langchain ai Langgraph Graph Configuration Management
- Principle:Promptfoo Promptfoo Data Migration
Implementations
- Implementation:FlagOpen FlagEmbedding Reinforced IR Get Prompts
- Implementation:Cleanlab Cleanlab Datalab Get Issues
- Implementation:DataTalksClub Data engineering zoomcamp JsonConsumer Implementation
- Implementation:Langchain ai Langgraph Serde Types
- Implementation:Facebookresearch Habitat lab Selection
- Implementation:Promptfoo Promptfoo Plugins Registry
- Implementation:ClickHouse ClickHouse Nfpm Common Static Package
- Implementation:MaterializeInc Materialize Mzexplore Module
- Implementation:MarketSquare Robotframework browser Print Version
- Implementation:Kubeflow Pipelines Dsl Component Decorator
Heuristics
- Heuristic:CrewAIInc CrewAI Rate Limiting Strategy
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
- Heuristic:Trailofbits Fickling Force Flag Bypass
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:Microsoft Playwright Browser Specific Workarounds
- Heuristic:TA Lib Ta lib python Compatibility Mode Switching
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
Environments
- Environment:Apache Spark Release Build Environment
- Environment:Open compass VLMEvalKit GPU CUDA Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Hiyouga LLaMA Factory FP8 Training Environment
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Rapidsai Cuml CUDA GPU
- Environment:OpenGVLab InternVL PyTorch CUDA