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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:Ray project Ray Actor Lifecycle Management
- Workflow:Apache Hudi Flink Batch Incremental Read
- Workflow:Apache Flink Stream File Compaction
- Workflow:CrewAIInc CrewAI Hierarchical Crew Execution
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Langgenius Dify Knowledge Base Management
- Workflow:Cypress io Cypress Component Test Execution
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:Intel Ipex llm RAG With LangChain
Principles
- Principle:CARLA simulator Carla Traffic Behavior Configuration
- Principle:DevExpress Testcafe Smart Assertions
- Principle:Mlc ai Web llm Structured Output Parsing
- Principle:Pola rs Polars Timezone Handling
- Principle:Microsoft DeepSpeedExamples DeepSpeed Training Loop
- Principle:Neuml Txtai Document Collection
- Principle:DistrictDataLabs Yellowbrick Intercluster Distance Mapping
- Principle:Langchain ai Langchain Incremental Chunk Processing
- Principle:Huggingface Trl PPO Trainer Initialization
- Principle:Online ml River ADWIN Drift Detection
Implementations
- Implementation:Huggingface Trl SFTTrainer Train
- Implementation:Cypress io Cypress React Mount
- Implementation:Langfuse Langfuse API Ingestion Schema
- Implementation:Microsoft Semantic kernel InvokePromptAsync With Functions
- Implementation:Junyanz Pytorch CycleGAN and pix2pix TestModel Forward
- Implementation:Neuml Txtai PipelineModel Init
- Implementation:Haosulab ManiSkill FMBAssembly
- Implementation:Togethercomputer Together python Image Prompt Format
- Implementation:NVIDIA NeMo Curator Trafilatura Extractor
- Implementation:Huggingface Optimum Save Utils
Heuristics
- Heuristic:LMCache LMCache Chunk Size And Default Config
- Heuristic:Teamcapybara Capybara Animation Disabling For Tests
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Zai org CogVideo Training Hyperparameter Defaults
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:Axolotl ai cloud Axolotl Gradient Checkpointing Reentrant Rules
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:Deepset ai Haystack Embedding Batch Size And Prefix
- Heuristic:OpenBMB UltraFeedback API Retry Strategy
- Heuristic:Spcl Graph of thoughts GoT Decompose Sort Merge Strategy
Environments
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:Sgl project Sglang Multimodal
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:Spotify Luigi Python Runtime
- Environment:Trailofbits Fickling Python Runtime
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Deepspeedai DeepSpeed CUDA GPU Environment