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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:ClickHouse ClickHouse Server Deployment
- Workflow:Cypress io Cypress Project Setup and Configuration
- Workflow:Microsoft LoRA GPT2 NLG Finetuning
- Workflow:CrewAIInc CrewAI Flow Based Orchestration
- Workflow:Cohere ai Cohere python Model Finetuning
- Workflow:Openai Openai node Function Calling
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Togethercomputer Together python Fine Tuning
- Workflow:Microsoft Autogen Multi Agent Conversation
Principles
- Principle:Triton inference server Server Ensemble Pipeline Design
- Principle:Bitsandbytes foundation Bitsandbytes CPU SIMD Dequantization
- Principle:Ggml org Ggml Language Model Loading
- Principle:Apache Paimon Indexed Split Result Retrieval
- Principle:Facebookresearch Audiocraft Conditioning Preparation
- Principle:NVIDIA NeMo Curator Connected Component Analysis
- Principle:Apache Beam Job Execution
- Principle:Avdvg InjectGuard Vector Store Construction
- Principle:Ollama Ollama Model Adaptation
- Principle:SeldonIO Seldon core Explainer Base Model Deployment
Implementations
- Implementation:TobikoData Sqlmesh Editor Extensions Help
- Implementation:Infiniflow Ragflow KnowledgeGraphUtil
- Implementation:Online ml River Stats IQR
- Implementation:DistrictDataLabs Yellowbrick FeatureImportances Visualizer
- Implementation:ClickHouse ClickHouse Server Process Stop
- Implementation:Intel Ipex llm AutoModelForCausalLM From Pretrained DPO
- Implementation:SeleniumHQ Selenium Python Pyproject
- Implementation:Mage ai Mage ai GitHub Streams
- Implementation:Alibaba MNN RapidJSON Schema
- Implementation:Neuml Txtai ToolFactory Create
Heuristics
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:LaurentMazare Tch rs CuDNN Benchmark Mode
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:Puppeteer Puppeteer Firefox Single Process Workaround
- Heuristic:Deepset ai Haystack Warning Deprecated TransformersSimilarityRanker
- Heuristic:Facebookresearch Habitat lab Resume State Config Override
- Heuristic:DataTalksClub Data engineering zoomcamp Kafka Consumer Poll Timeout
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Instance Norm for Multi GPU
- Heuristic:Tencent Ncnn Thread Count Tuning
- Heuristic:CARLA simulator Carla Walker Spawn Vertical Offset
Environments
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Openai Evals Python Runtime
- Environment:Deepseek ai Janus JanusFlow Diffusers Environment
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime
- Environment:LaurentMazare Tch rs Libtorch Build Environment
- Environment:Vllm project Vllm GitHub
- Environment:Intel Ipex llm Pipeline Parallel Environment