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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 |
Explore Pages
Workflows
- Workflow:Haifengl Smile Model Serving Pipeline
- Workflow:Wandb Weave Evaluation Pipeline
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Mbzuai oryx Awesome LLM Post training Awesome List Curation
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:Langgenius Dify Visual Workflow Builder
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:Infiniflow Ragflow Search Application Setup
- Workflow:Zai org CogVideo Diffusers Image to Video Inference
Principles
- Principle:FMInference FlexLLMGen Async IO NVMe Operations
- Principle:Haifengl Smile File Data Loading
- Principle:Fastai Fastbook Feature Importance
- Principle:Heibaiying BigData Notes Prepare Input Data
- Principle:FlagOpen FlagEmbedding Auto Reranker Loading
- Principle:Webdriverio Webdriverio BrowserBinaryResolution
- Principle:Microsoft BIPIA Prompt Construction
- Principle:Googleapis Python genai Content Preparation
- Principle:Ggml org Llama cpp Eval Callbacks
- Principle:Vespa engine Vespa Change Polling Loop
Implementations
- Implementation:Microsoft Playwright ColorUtils
- Implementation:Mlfoundations Open flamingo Get data
- Implementation:Apache Druid SampleForSchema
- Implementation:Openai Openai python Video List Params
- Implementation:Puppeteer Puppeteer Bidi Page
- Implementation:Microsoft LoRA Run GLUE No Trainer
- Implementation:OpenRLHF OpenRLHF Ray init placement group
- Implementation:Ggml org Llama cpp Pydantic Example
- Implementation:Apache Druid Licenses Registry
- Implementation:Webdriverio Webdriverio XPath Predicate
Heuristics
- Heuristic:Triton inference server Server Dynamic Batching Tuning
- Heuristic:Bentoml BentoML Platform Serving Caveats
- Heuristic:Apache Paimon Compression Tuning
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:Guardrails ai Guardrails Sentence Tokenizer Optimization
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
- Heuristic:CrewAIInc CrewAI RAG Search Defaults
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:Anthropics Anthropic sdk python Streaming For Long Requests
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
Environments
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:Ollama Ollama GPU Runtime
- Environment:Vllm project Vllm AMD ROCm
- Environment:Sgl project Sglang Grafana
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Apache Hudi Docker Demo Environment
- Environment:Mlc ai Mlc llm OpenCL Android Environment