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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:HKUDS AI Trader End to End US Stock Trading
- Workflow:Apache Airflow Core Release Process
- Workflow:Pytorch Serve Model Deployment
- Workflow:LaurentMazare Tch rs LLM Text Generation
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit Optimizer Training
- Workflow:Huggingface Peft LoRA Embedding Semantic Search
- Workflow:Datahub project Datahub Python Metadata Emission
- Workflow:Datahub project Datahub Docker Quickstart Deployment
- Workflow:Interpretml Interpret EBM Model Export
- Workflow:Apache Dolphinscheduler Workflow Failover Recovery
Principles
- Principle:Huggingface Transformers JIT Warmup
- Principle:Kornia Kornia Tensor Image Conversion
- Principle:Webdriverio Webdriverio AI Self Healing
- Principle:Webdriverio Webdriverio Page Object Model
- Principle:Togethercomputer Together python Dataset Preparation
- Principle:Langgenius Dify Plugin Installation
- Principle:Deepspeedai DeepSpeed Async IO Operations
- Principle:FlowiseAI Flowise Application Configuration
- Principle:NVIDIA NeMo Aligner RLHF Prompt Data Preparation
- Principle:LaurentMazare Tch rs Transformer Architecture
Implementations
- Implementation:Ollama Ollama Tools Parser
- Implementation:Datajuicer Data juicer KeyValueGrouper
- Implementation:TobikoData Sqlmesh ModelNodeHeaderHandles
- Implementation:Evidentlyai Evidently SDK Artifacts
- Implementation:Unslothai Unsloth Model Registry
- Implementation:Puppeteer Puppeteer ConsoleMessage
- Implementation:Ollama Ollama Llama Adapter
- Implementation:Mlc ai Mlc llm Model Runtime
- Implementation:Tensorflow Tfjs Tf LoadLayersModel For Transfer
- Implementation:Zai org CogVideo SATVideoDiffusionEngine Init
Heuristics
- Heuristic:Run llama Llama index Chunk Size Optimization
- Heuristic:Unstructured IO Unstructured Chunk Size Tuning
- Heuristic:Unslothai Unsloth Padding Free Packing
- Heuristic:Spotify Luigi Parameter Propagation Decorators
- Heuristic:DistrictDataLabs Yellowbrick Model Fitted State Detection
- Heuristic:Mlc ai Web llm Low Resource Model Selection
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Truera Trulens Temperature Zero For Deterministic Scoring
- Heuristic:Puppeteer Puppeteer Chrome Default Launch Arguments
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
Environments
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:BerriAI Litellm Docker Deployment
- Environment:InternLM Lmdeploy Python Dependencies
- Environment:Cleanlab Cleanlab Python Core Environment
- Environment:Snorkel team Snorkel PyTorch
- Environment:Openclaw Openclaw Node 22 Runtime
- Environment:Pytorch Serve Distributed Training Environment
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Interpretml Interpret Python Core Environment