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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:Romsto Speculative Decoding Speculative Decoding Inference
- Workflow:Obss Sahi Sliced Inference Pipeline
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:Spotify Luigi Hadoop MapReduce Pipeline
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Langfuse Langfuse Prompt management lifecycle
- Workflow:Microsoft Agent framework Agent With Tool Approval
- Workflow:Apache Paimon Blob Storage With Descriptors
- Workflow:NVIDIA NeMo Aligner Supervised Fine Tuning
- Workflow:Vllm project Vllm Vision Language Inference
Principles
- Principle:Vespa engine Vespa Indexing Expression Execution
- Principle:Hpcaitech ColossalAI Ray Weight Synchronization
- Principle:Pytorch Serve Speech Recognition Inference
- Principle:AUTOMATIC1111 Stable diffusion webui Startup Performance Profiling
- Principle:Farama Foundation Gymnasium Action Transformation
- Principle:MaterializeInc Materialize Release Completion
- Principle:Datahub project Datahub Pipeline Execution
- Principle:Microsoft Playwright Extract Data with Agent
- Principle:Iterative Dvc Vega Lite Conversion
- Principle:Run llama Llama index Finetuned Model Integration
Implementations
- Implementation:NVIDIA NeMo Curator IDGenerator
- Implementation:Webdriverio Webdriverio WebDriverRequestError
- Implementation:DataTalksClub Data engineering zoomcamp Pandas Chunked CSV Loading
- Implementation:Hpcaitech ColossalAI CustomStuffDocumentsChain
- Implementation:FlowiseAI Flowise CloudMenuList
- Implementation:NVIDIA TransformerEngine Float8CurrentScaling Recipe
- Implementation:FlagOpen FlagEmbedding Matryoshka Mistral Model Inference
- Implementation:Infiniflow Ragflow GenerateButtonHook
- Implementation:EvolvingLMMs Lab Lmms eval Baseline Registry
- Implementation:OpenHands OpenHands LinearView
Heuristics
- Heuristic:Ggml org Llama cpp GPU Layer Offloading Verification
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:MaterializeInc Materialize Pipeline Test Trimming Rules
- Heuristic:Marker Inc Korea AutoRAG One Dataset Per Project Directory
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Before Split Leakage
- Heuristic:Lucidrains X transformers Numerical Stability Techniques
- Heuristic:Obss Sahi Overlap Ratio Selection
- Heuristic:Apache Spark Hardware Provisioning Tips
- Heuristic:Huggingface Diffusers Guidance Scale Defaults
Environments
- Environment:Google deepmind Dm control GLFW Desktop Rendering
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Vllm project Vllm GitHub
- Environment:Volcengine Verl SGLang Rollout Environment
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:Unslothai Unsloth CUDA BitsAndBytes
- Environment:DataExpert io Data engineer handbook Statsig API Environment
- Environment:BerriAI Litellm Observability Stack