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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:Mage ai Mage ai Building a New Source Connector
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:Facebookresearch Habitat lab Agent Benchmarking
- Workflow:Openai Openai node Structured Output Parsing
- Workflow:Treeverse LakeFS External Data Import
- Workflow:Gretelai Gretel synthetics DataFrame Batch Synthesis
- Workflow:FlagOpen FlagEmbedding Embedder Inference
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
- Workflow:Allenai Open instruct DPO Preference Tuning
Principles
- Principle:Dagster io Dagster Component Based Definitions
- Principle:AUTOMATIC1111 Stable diffusion webui UI Component Pattern
- Principle:Unstructured IO Unstructured Strategy Selection
- Principle:Intel Ipex llm Hybrid CPU GPU Inference
- Principle:PrefectHQ Prefect Settings Discovery And Validation
- Principle:LaurentMazare Tch rs MNIST Dataset Loading
- Principle:OpenGVLab InternVL LoRA Adapter Injection
- Principle:Marker Inc Korea AutoRAG Serve And Monitor
- Principle:TobikoData Sqlmesh Development Environment Creation
- Principle:DevExpress Testcafe Page Object Model
Implementations
- Implementation:Apache Beam DirectRunner DefaultTransformOverrides
- Implementation:LMCache LMCache SGLang Utils
- Implementation:TobikoData Sqlmesh Api Hooks
- Implementation:Huggingface Datasets Dataset From List
- Implementation:Cypress io Cypress Vitest Config
- Implementation:Alibaba MNN FlatBuffers Reflection Impl
- Implementation:Evidentlyai Evidently Legacy Generated Features
- Implementation:Huggingface Datasets Dataset Set Format
- Implementation:FlowiseAI Flowise VectorStoreDialog
- Implementation:Online ml River Tree Splitter Gaussian
Heuristics
- Heuristic:Apache Dolphinscheduler Datasource Cache Expiry
- Heuristic:Haifengl Smile Platform Native Library Selection
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:Ray project Ray Graceful Shutdown Timing
- Heuristic:Togethercomputer Together python Fine Tuning Parameter Validation
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:LLMBook zh LLMBook zh github io Reward Model LM Regularization
- Heuristic:Huggingface Datatrove Thundering Herd Prevention
- Heuristic:Spotify Luigi Streaming MapReduce Processing
- Heuristic:Duckdb Duckdb Version Sync Across Files
Environments
- Environment:Pyro ppl Pyro Funsor Backend
- Environment:Fastai Fastbook Sklearn Environment
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:OpenHands OpenHands Frontend Build Environment
- Environment:Microsoft Playwright Node Runtime Environment
- Environment:Interpretml Interpret Native Libebm Environment
- Environment:Farama Foundation Gymnasium Box2D Physics Backend
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Sgl project Sglang Python Dependencies
- Environment:Hpcaitech ColossalAI CUDA GPU Environment