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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:FlagOpen FlagEmbedding Reranker Inference
- Workflow:Norrrrrrr lyn WAInjectBench Text Prompt Injection Detection
- Workflow:Apache Druid SQL Query Execution
- Workflow:CrewAIInc CrewAI Sequential Crew Execution
- Workflow:AUTOMATIC1111 Stable diffusion webui Image postprocessing and upscaling
- Workflow:Getgauge Taiko Headless Browser Testing
- Workflow:Puppeteer Puppeteer Web Scraping And Interaction
- Workflow:TobikoData Sqlmesh Plan and apply deployment
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Webdriverio Webdriverio Custom Plugin Development
Principles
- Principle:Datajuicer Data juicer Statistics Computation
- Principle:FMInference FlexLLMGen Data Wrangling Batch Inference
- Principle:Mlfoundations Open flamingo Classification Evaluation
- Principle:Nautechsystems Nautilus trader Strategy Registration
- Principle:Apache Beam Computation Configuration
- Principle:Deepspeedai DeepSpeed ZeRO Training Loop
- Principle:Snorkel team Snorkel Synthetic Label Matrix Generation
- Principle:Dagster io Dagster Dbt Test To Asset Check
- Principle:Apache Dolphinscheduler Synchronous RPC Execution
- Principle:Openai Openai python Input Token Counting
Implementations
- Implementation:Datahub project Datahub MetadataResponseFuture
- Implementation:Lance format Lance ConstantEncoding
- Implementation:Speechbrain Speechbrain Hparams Switchboard Seq2Seq
- Implementation:Microsoft Autogen Studio Elicitation Dialog
- Implementation:Huggingface Diffusers DiffusionPipeline From Pretrained
- Implementation:Run llama Llama index SentenceSplitter Configuration
- Implementation:Facebookresearch Habitat lab Dataset Registration
- Implementation:Open compass VLMEvalKit MathVista Utils
- Implementation:Microsoft Onnxruntime FloatTensorType Init
- Implementation:BerriAI Litellm Safe JSON Dumps
Heuristics
- Heuristic:Langchain ai Langchain Retry Scope Best Practice
- Heuristic:Apache Airflow DAG Complexity Reduction
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:Microsoft Autogen Graph Validation Rules
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:Deepset ai Haystack Warning Deprecated TransformersSimilarityRanker
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:Lance format Lance BM25 FTS Configuration
Environments
- Environment:Webdriverio Webdriverio Cloud Service Credentials
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:Gretelai Gretel synthetics TensorFlow GPU Environment
- Environment:Snorkel team Snorkel SpaCy NLP
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:Apache Dolphinscheduler ZooKeeper Registry
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment