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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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|---|---|---|
| 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:Obss Sahi Sliced Inference Pipeline
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Microsoft LoRA GPT2 NLG Finetuning
- Workflow:Norrrrrrr lyn WAInjectBench LLaVA Finetuning
- Workflow:Hpcaitech ColossalAI RAG Application
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:Confident ai Deepeval Synthetic Dataset Generation
- Workflow:MaterializeInc Materialize dbt Integration
- Workflow:Unstructured IO Unstructured Connector Ingest Pipeline
- Workflow:Interpretml Interpret EBM Training And Prediction
Principles
- Principle:Groq Groq python Text Embedding Request
- Principle:Scikit learn Scikit learn Kernel Methods
- Principle:Huggingface Optimum Framework Detection
- Principle:Zai org CogVideo Vector Quantization
- Principle:Huggingface Diffusers Post Processing
- Principle:PrefectHQ Prefect Global Concurrency Limits
- Principle:Cleanlab Cleanlab Label Quality Scoring
- Principle:Vespa engine Vespa Tokenization
- Principle:Microsoft Onnxruntime Conversion Validation
- Principle:Huggingface Trl SFT Dataset Preparation
Implementations
- Implementation:Online ml River Metrics CohenKappa
- Implementation:Deepspeedai DeepSpeed PipelineEngine Train Batch
- Implementation:TobikoData Sqlmesh Editor Extensions Help
- Implementation:FlowiseAI Flowise ErrorContext
- Implementation:Vibrantlabsai Ragas AnswerCorrectness
- Implementation:Haosulab ManiSkill PlaceSphere
- Implementation:Webdriverio Webdriverio EnvDetector
- Implementation:Webdriverio Webdriverio AiHandler Class
- Implementation:Open compass VLMEvalKit SArena MINI
- Implementation:Volcengine Verl Multi Turn Data Preprocessing
Heuristics
- Heuristic:Pytorch Serve Torch Compile Best Practices
- Heuristic:ARISE Initiative Robomimic Video Recording Optimization
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:TA Lib Ta lib python Unstable Period Configuration
- Heuristic:Apache Flink Async Sink Timeout And Backpressure Defaults
- Heuristic:Mlc ai Web llm Low Resource Model Selection
- Heuristic:Apache Dolphinscheduler Netty Thread Sizing
- Heuristic:AnswerDotAI RAGatouille Searcher Configuration By Collection Size
- Heuristic:Promptfoo Promptfoo Adaptive Concurrency Tuning
- Heuristic:DataTalksClub Data engineering zoomcamp Kafka Consumer Poll Timeout
Environments
- Environment:AUTOMATIC1111 Stable diffusion webui GPU Compute Backend
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:Arize ai Phoenix Phoenix Server Runtime
- Environment:TobikoData Sqlmesh Web UI Stack
- Environment:Pyro ppl Pyro Funsor Backend
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Predibase Lorax Model Source Credentials
- Environment:Huggingface Trl Quantization Environment
- Environment:Farama Foundation Gymnasium Video Recording Dependencies
- Environment:Huggingface Diffusers Attention Backends