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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 |
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Workflows
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:Apache Flink File Sink Pipeline
- Workflow:Kubeflow Kubeflow Release Management
- Workflow:Neuml Txtai Agent Execution
- Workflow:Google research Deduplicate text datasets Wiki40B TFDS deduplication
- Workflow:OpenBMB UltraFeedback Dataset Construction
- Workflow:Speechbrain Speechbrain CTC ASR Training
- Workflow:Huggingface Alignment handbook ORPO Single Stage Alignment
- Workflow:Huggingface Transformers PEFT Adapter Integration
- Workflow:Datajuicer Data juicer LLM Powered Data Generation
Principles
- Principle:Apache Flink Format Factory SPI
- Principle:FlowiseAI Flowise Document Processing
- Principle:LaurentMazare Tch rs JIT Forward Pass
- Principle:Eventual Inc Daft Data Preprocessing Download
- Principle:Apache Airflow Provider Documentation
- Principle:Ggml org Llama cpp SpeculativeDecoding
- Principle:Apache Airflow Branch Preparation
- Principle:Rapidsai Cuml Time Series Forecasting
- Principle:Kubeflow Kubeflow Post Release Communication
- Principle:Roboflow Rf detr Model Deployment
Implementations
- Implementation:Googleapis Python genai Operations Converters
- Implementation:Fastai Fastbook Fine Tune
- Implementation:Infiniflow Ragflow ThemeProvider Component
- Implementation:Hiyouga LLaMA Factory MCA Workflow
- Implementation:Apache Beam PortableRunner Run
- Implementation:Dotnet Machinelearning MatrixFactorizationNative
- Implementation:Langchain ai Langgraph Entrypoint Decorator
- Implementation:CarperAI Trlx Logging
- Implementation:NVIDIA TransformerEngine Ops Base
- Implementation:Microsoft Onnxruntime Module TrainStep
Heuristics
- Heuristic:Pytorch Serve Batch Size Tuning
- Heuristic:OpenGVLab InternVL Pixel Shuffle Downsampling
- Heuristic:Princeton nlp SimPO BOS Token Handling
- Heuristic:Allenai Open instruct Warning Archived Dev Scripts
- Heuristic:Mbzuai oryx Awesome LLM Post training Paper Deduplication Via Dict
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Pytorch Serve CPU Performance Tuning
- Heuristic:Dagster io Dagster Batch Size Tuning
- Heuristic:Hpcaitech ColossalAI Warmup Steps Heuristic
Environments
- Environment:Teamcapybara Capybara Selenium WebDriver Environment
- Environment:Langgenius Dify Python Backend Environment
- Environment:Tensorflow Serving Build Environment
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:InternLM Lmdeploy Build From Source
- Environment:Groq Groq python Python Groq SDK
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Zai org CogVideo SAT Framework Environment
- Environment:Ucbepic Docetl Python Runtime
- Environment:Truera Trulens OpenAI Provider Environment