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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:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:Pytorch Serve HuggingFace Transformer Serving
- Workflow:ArroyoSystems Arroyo SQL Pipeline Lifecycle
- Workflow:Princeton nlp SimPO SimPO Training
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
- Workflow:Puppeteer Puppeteer Web Scraping And Interaction
- Workflow:Rapidsai Cuml Dimensionality Reduction
- Workflow:Nightwatchjs Nightwatch Programmatic API Usage
- Workflow:Ucbepic Docetl YAML Pipeline Execution
- Workflow:Ggml org Ggml GPT2 Text Generation
Principles
- Principle:Apache Shardingsphere Shadow Algorithm Evaluation
- Principle:Diagram of thought Diagram of thought Trace Report Generation
- Principle:Kubeflow Kubeflow Build Pipeline
- Principle:Dagster io Dagster Documentation Site Navigation
- Principle:CARLA simulator Carla Simulation Recording
- Principle:Interpretml Interpret Global Explanation Generation
- Principle:ThreeSR Awesome Inference Time Scaling Repository Forking
- Principle:Kornia Kornia ONNX Inference
- Principle:Farama Foundation Gymnasium Video Recording
- Principle:Dotnet Machinelearning Experiment Configuration
Implementations
- Implementation:Datahub project Datahub S3EmitterConfig
- Implementation:Datajuicer Data juicer WordsNumFilter
- Implementation:Recommenders team Recommenders K8s Utils
- Implementation:Predibase Lorax GPTQ Quant Linear
- Implementation:Kubeflow Pipelines GPU Resource Request Sample
- Implementation:Huggingface Datasets AbstractDatasetReader
- Implementation:Evidentlyai Evidently Grafana Dashboard Config
- Implementation:Arize ai Phoenix Evaluation DataFrame Schema
- Implementation:Ggml org Llama cpp Server Health Metrics
- Implementation:FlowiseAI Flowise AgentExecutedDataCard
Heuristics
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:Bigscience workshop Petals Batch Splitting Threshold
- Heuristic:Google deepmind Dm control Rendering Backend Selection Tips
- Heuristic:ARISE Initiative Robosuite Observation Key Selection
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
- Heuristic:MarketSquare Robotframework browser MacOS Sonoma Startup Delay
- Heuristic:Pytorch Serve CPU Performance Tuning
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:Turboderp org Exllamav2 Dynamic Generator Tuning
Environments
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:Deepspeedai DeepSpeed XPU Environment
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime
- Environment:Getgauge Taiko Node Runtime
- Environment:Unslothai Unsloth CUDA BitsAndBytes
- Environment:Vllm project Vllm Intel XPU
- Environment:Alibaba MNN CPU Build Environment
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib