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Revision as of 14:32, 22 February 2026
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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Browse by Category
| 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:Sgl project Sglang Online Serving With OpenAI API
- Workflow:DataExpert io Data engineer handbook PySpark Iceberg Job Execution
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Puppeteer Puppeteer PDF Generation
- Workflow:OpenHands OpenHands SaaS Server Assembly
- Workflow:CrewAIInc CrewAI Flow Based Orchestration
- Workflow:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:ContextualAI HALOs Model Evaluation
Principles
- Principle:Huggingface Datasets Dataset Metadata Configuration
- Principle:Explodinggradients Ragas Evaluation Dataset Preparation
- Principle:SeldonIO Seldon core Experiment Execution
- Principle:Pyro ppl Pyro Mixed Effect HMM
- Principle:Openai Openai node Job Progress Monitoring
- Principle:Promptfoo Promptfoo Attack Generation
- Principle:Ollama Ollama MultimodalPipeline
- Principle:Microsoft LoRA NLU LoRA Injection
- Principle:Datahub project Datahub OpenLineage Conversion
- Principle:Pyro ppl Pyro Posterior Predictive Analysis
Implementations
- Implementation:Haosulab ManiSkill MJCFLoaderInternal
- Implementation:Ggml org Ggml Webgpu shader lib
- Implementation:Ray project Ray RayRuntime Interface
- Implementation:Webdriverio Webdriverio Capabilities Types
- Implementation:Duckdb Duckdb Zstd Common
- Implementation:Risingwavelabs Risingwave Relation Graph Page
- Implementation:Mage ai Mage ai GitHub Actions ECS Staging Production Deploy
- Implementation:Langfuse Langfuse DatasetItemValidator
- Implementation:Online ml River Stream Iter Polars
- Implementation:Ollama Ollama Imagegen Image
Heuristics
- Heuristic:Facebookresearch Audiocraft Codebook Dead Code Expiration
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Sktime Pytorch forecasting Target Normalization Transforms
- Heuristic:Google research Deduplicate text datasets HACKSIZE Overlap Buffer
- Heuristic:FlagOpen FlagEmbedding Warning Deprecated Search Demo
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:Microsoft Agent framework PowerFx Python Version Limit
- Heuristic:Tensorflow Tfjs WASM Cross Origin Isolation
- Heuristic:Eric mitchell Direct preference optimization TF32 Matmul Precision
- Heuristic:Microsoft Autogen Agent Thread Safety
Environments
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Microsoft Onnxruntime Distributed Training Environment
- Environment:Predibase Lorax Model Source Credentials
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:OWASP Www project top 10 for large language model applications Pre Commit Hooks Environment
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Treeverse LakeFS Go Runtime Environment
- Environment:BerriAI Litellm Redis Cache Backend
- Environment:Sail sg LongSpec Inference Environment