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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:Sgl project Sglang Multimodal Vision Language Inference
- Workflow:HKUDS AI Trader Data Pipeline
- Workflow:Dagster io Dagster Bluesky Analytics
- Workflow:Cohere ai Cohere python Text Embedding
- Workflow:Facebookresearch Audiocraft JASCO Conditioned Music Generation
- Workflow:MaterializeInc Materialize Release Process
- Workflow:Vllm project Vllm Speculative Decoding
- Workflow:Vllm project Vllm Vision Language Inference
- Workflow:Apache Paimon Distributed Processing With Ray
- Workflow:Openai Openai node Fine Tuning
Principles
- Principle:Interpretml Interpret Data Preparation And Validation
- Principle:Dotnet Machinelearning Field Aware Factorization Machine
- Principle:Tensorflow Serving Resource Arithmetic
- Principle:Apache Paimon File System Abstraction
- Principle:Arize ai Phoenix Span Transmission
- Principle:Tensorflow Serving Bundle Factory Configuration
- Principle:Evidentlyai Evidently LLM Judge Evaluation
- Principle:Huggingface Alignment handbook Direct Preference Optimization
- Principle:Bigscience workshop Petals Distributed Model Configuration
- Principle:Fede1024 Rust rdkafka Mock Client Configuration
Implementations
- Implementation:Apache Druid InputSourceStep
- Implementation:Microsoft Playwright ESLint Configuration
- Implementation:CrewAIInc CrewAI DevTools CLI
- Implementation:Open compass VLMEvalKit OSTDataset
- Implementation:EvolvingLMMs Lab Lmms eval Charades STA Eval TVG
- Implementation:Tensorflow Tfjs Normalization Test
- Implementation:Tensorflow Serving Event Bus
- Implementation:Openai Openai python Files Create
- Implementation:Online ml River Stats EWMean
- Implementation:Langgenius Dify Refresh Token
Heuristics
- Heuristic:Shiyu coder Kronos Instance Normalization Clipping
- Heuristic:Rapidsai Cuml GPU Cache Alignment
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Risingwavelabs Risingwave Docker Memory Allocation
- Heuristic:OpenGVLab InternVL Packed Training Buffer Management
- Heuristic:Liu00222 Open Prompt Injection Cosine Similarity Segmentation Threshold
- Heuristic:Bentoml BentoML Worker Count Strategy
- Heuristic:Mistralai Client python Resource Context Manager
- Heuristic:Mlc ai Mlc llm Optimization Level Selection
- Heuristic:Rapidsai Cuml CUDA Kernel Caching
Environments
- Environment:Onnx Onnx Python Runtime Environment
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Apache Paimon Cloud Storage Credentials
- Environment:Langchain ai Langgraph Docker Deployment Environment
- Environment:LMCache LMCache Python Runtime
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:FlagOpen FlagEmbedding GPU Accelerator Environment
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:Microsoft Playwright Node Runtime Environment
- Environment:NVIDIA NeMo Aligner PyTriton Serving Environment