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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:NVIDIA NeMo Aligner RLHF PPO Training
- Workflow:Infiniflow Ragflow Document Processing Pipeline
- Workflow:Cypress io Cypress CI Pipeline Integration
- Workflow:LLMBook zh LLMBook zh github io Supervised Finetuning
- Workflow:NVIDIA NeMo Curator Fuzzy Deduplication
- Workflow:Lance format Lance Dataset Lifecycle
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:Volcengine Verl Multi Turn Tool Use Training
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
Principles
- Principle:Microsoft Onnxruntime Distributed Data Loading
- Principle:ClickHouse ClickHouse Installation
- Principle:Mage ai Mage ai Source Configuration
- Principle:Kubeflow Pipelines Combined Control Flow
- Principle:NVIDIA TransformerEngine Gemma Weight Loading
- Principle:Infiniflow Ragflow Agent Creation
- Principle:Heibaiying BigData Notes Prepare Input Data
- Principle:Apache Flink Hybrid Source Initialization
- Principle:Interpretml Interpret Rule Based Classification
- Principle:Sktime Pytorch forecasting NBeats Model Instantiation
Implementations
- Implementation:Openai Openai python Unwrap Webhook Event
- Implementation:Langgenius Dify Tailwind Common Config
- Implementation:CarperAI Trlx ILQL Generate
- Implementation:Unslothai Unsloth OLLAMA TEMPLATES
- Implementation:PacktPublishing LLM Engineers Handbook FastLanguageModel For Inference
- Implementation:Isaac sim IsaacGymEnvs Runner Play Mode
- Implementation:FlowiseAI Flowise SelectVariable
- Implementation:Apache Druid Timezone Aware Tick Generation
- Implementation:Ucbepic Docetl EpsteinEmailExplorer
- Implementation:Google deepmind Dm control Mocap Prop
Heuristics
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
- Heuristic:Pola rs Polars Collect All For Diverging Queries
- Heuristic:Unslothai Unsloth Gradient Accumulation Accuracy
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
- Heuristic:Helicone Helicone Cost Precision Multiplier
- Heuristic:LMCache LMCache Chunk Size And Default Config
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Adam Beta1 Half
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
Environments
- Environment:Openai Openai agents python OpenAI API Credentials
- Environment:Ray project Ray CI Build Matrix Environment
- Environment:Openai CLIP Python Dependencies
- Environment:Duckdb Duckdb Code Generation Tools
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:MaterializeInc Materialize Buildkite CI Runtime
- Environment:Tensorflow Tfjs Python Converter
- Environment:DevExpress Testcafe Firefox Marionette
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Dotnet Machinelearning Dotnet SDK And Runtime