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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:DevExpress Testcafe CLI Test Execution
- Workflow:Ray project Ray Serve Deployment
- Workflow:Apache Flink File Sink Pipeline
- Workflow:Datahub project Datahub Python Metadata Emission
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:Explodinggradients Ragas Agent Evaluation
- Workflow:MaterializeInc Materialize CI Pipeline Generation
- Workflow:Onnx Onnx Reference Evaluation
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
- Workflow:Sktime Pytorch forecasting TFT Demand Forecasting
Principles
- Principle:Apache Shardingsphere Configuration Change Initiation
- Principle:Alibaba ROLL Knowledge Distillation Loss
- Principle:Heibaiying BigData Notes Kafka Offset Management
- Principle:OpenHands OpenHands Conversation Initiation
- Principle:Online ml River Cluster Evolution Monitoring
- Principle:Dagster io Dagster Rate Limiting Strategy
- Principle:EvolvingLMMs Lab Lmms eval Metric Definition
- Principle:Shiyu coder Kronos CSV Finetuning Configuration
- Principle:Microsoft Semantic kernel Prompt With Function Calling
- Principle:Online ml River SNARIMAX Forecasting
Implementations
- Implementation:Datajuicer Data juicer Prompt2PromptPipeline
- Implementation:Onnx Onnx Model Subgraph Extractor
- Implementation:Langchain ai Langgraph Pregel Algo
- Implementation:Evidentlyai Evidently CI Main Workflow
- Implementation:Microsoft Playwright StringUtils
- Implementation:Vespa engine Vespa Messagebus ABI Spec
- Implementation:Ggml org Llama cpp CLIP Graph
- Implementation:Mlfoundations Open flamingo Create model and transforms
- Implementation:Run llama Llama index BaseNodePostprocessor
- Implementation:Groq Groq python ErrorObject Type
Heuristics
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Protectai Llm guard Token Limit Early Guard
- Heuristic:Facebookresearch Habitat lab Resume State Config Override
- Heuristic:Sktime Pytorch forecasting Gradient Clipping Value
- Heuristic:Datahub project Datahub Batch Size And Timeout Tuning
- Heuristic:Apache Druid Cluster Health Diagnostic Thresholds
- Heuristic:Snorkel team Snorkel Binary Only Slicing
- Heuristic:NVIDIA NeMo Aligner DPO Sequence Packing Tips
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
Environments
- Environment:Sgl project Sglang CPU
- Environment:Norrrrrrr lyn WAInjectBench External Repos Dependencies
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:Vllm project Vllm Python Dependencies
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Protectai Llm guard ONNX Runtime Acceleration
- Environment:Google research Deduplicate text datasets Python HuggingFace Environment
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Arize ai Phoenix Phoenix Server Runtime