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1,118
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:Onnx Onnx Model Validation
- Workflow:ARISE Initiative Robomimic Hyperparameter Sweep
- Workflow:Obss Sahi COCO Dataset Slicing
- Workflow:Trailofbits Fickling PyTorch Payload Injection
- Workflow:FlowiseAI Flowise Evaluation Pipeline
- Workflow:Explodinggradients Ragas Test Data Generation
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Infiniflow Ragflow Chat Application Setup
- Workflow:Googleapis Python genai Model Fine Tuning
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
Principles
- Principle:Googleapis Python genai Training Dataset Preparation
- Principle:Openai Openai node Realtime Connection
- Principle:Scikit learn Scikit learn Discriminant Analysis
- Principle:ContextualAI HALOs Model Checkpointing
- Principle:Apache Kafka Release Branch Preparation
- Principle:Tensorflow Tfjs Graph Model Inference
- Principle:Volcengine Verl RLHF Data Preparation
- Principle:NVIDIA NeMo Aligner Reward Model Validation
- Principle:SeldonIO Seldon core Pipeline Version Progression
- Principle:Volcengine Verl Policy Loss Optimization
Implementations
- Implementation:Apache Flink RecordsWithSplitIds
- Implementation:Huggingface Peft BOFTConfig
- Implementation:Puppeteer Puppeteer Cache Class
- Implementation:Liu00222 Open Prompt Injection create task
- Implementation:Puppeteer Puppeteer Dialog
- Implementation:Pytorch Serve Custom Sphinx Directives
- Implementation:Explodinggradients Ragas SimpleCriteriaScore Metric
- Implementation:Datahub project Datahub Spark Submit Agent JAR
- Implementation:FMInference FlexLLMGen DeepSpeed Engine
- Implementation:Run llama Llama index BaseQueryEngine
Heuristics
- Heuristic:Openai CLIP Linear Probe Regularization C
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:Deepspeedai DeepSpeed FP16 Convergence Tips
- Heuristic:Webdriverio Webdriverio Stale Element Auto Refetch
- Heuristic:Arize ai Phoenix AIMD Concurrency Control
- Heuristic:Risingwavelabs Risingwave Memory Cache Eviction Policy
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:Deepset ai Haystack BM25 Score Scaling
- Heuristic:Rapidsai Cuml CUDA Kernel Caching
Environments
- Environment:DevExpress Testcafe Node Runtime
- Environment:Huggingface Trl Quantization Environment
- Environment:Cleanlab Cleanlab Datalab Dependencies
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:Huggingface Datasets TensorFlow Integration
- Environment:CARLA simulator Carla Build From Source Requirements
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Microsoft Agent framework API Credentials
- Environment:Cypress io Cypress Node Runtime Environment
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API