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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:Ray project Ray Build and Release Pipeline
- Workflow:Alibaba ROLL DPO Training Pipeline
- Workflow:Open compass VLMEvalKit Adding Custom VLM
- Workflow:Google deepmind Dm control Multi Agent Soccer Setup
- Workflow:Rapidsai Cuml Time Series Forecasting
- Workflow:Google research Deduplicate text datasets Cross dataset deduplication
- Workflow:Pola rs Polars Time Series Analysis
- Workflow:Apache Airflow Core Release Process
- Workflow:Speechbrain Speechbrain CTC ASR Training
- Workflow:Huggingface Open r1 Reasoning Data Generation
Principles
- Principle:Datahub project Datahub Docker Prerequisites
- Principle:Isaac sim IsaacGymEnvs Robot Controller Configuration
- Principle:SeldonIO Seldon core Experiment Traffic Analysis
- Principle:PacktPublishing LLM Engineers Handbook HuggingFace Dataset Publishing
- Principle:Googleapis Python genai Generation Configuration
- Principle:Cleanlab Cleanlab Batched Label Issue Detection
- Principle:Sgl project Sglang Multimodal Prompt Construction
- Principle:NVIDIA NeMo Curator Quality Filtering and Classification
- Principle:BerriAI Litellm Integration Data Export
- Principle:Unstructured IO Unstructured OpenAI Embedding
Implementations
- Implementation:Puppeteer Puppeteer Docusaurus Config
- Implementation:Openai Whisper Median Filter
- Implementation:Alibaba MNN CMake Build Quantools
- Implementation:Ggml org Ggml Cpu kleidiai backend
- Implementation:Cypress io Cypress GetInstallMessage
- Implementation:Ray project Ray Ray GetActor
- Implementation:Ggml org Ggml Sycl backend api
- Implementation:Predibase Lorax Flash SantaCoder Modeling
- Implementation:Haifengl Smile MathEx
- Implementation:Fastai Fastbook SGD Manual
Heuristics
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix High Res Crop Training
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Cleanlab Cleanlab Object Detection Scoring Constants
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
- Heuristic:Zai org CogVideo DeepSpeed Checkpoint Conversion Tips
- Heuristic:VainF Torch Pruning Pruning Ratio vs Parameter Ratio
- Heuristic:Kserve Kserve Server Side Apply For CRDs
Environments
- Environment:Openai Openai agents python Python 3 9 Runtime
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:Recommenders team Recommenders Python Core Dependencies
- Environment:Heibaiying BigData Notes Kafka 2 2 Environment
- Environment:OpenRLHF OpenRLHF Ray Distributed Environment
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:Mit han lab Llm awq Python Runtime Environment
- Environment:Hiyouga LLaMA Factory Quantization Dependencies
- Environment:Nautechsystems Nautilus trader Binance API Credentials