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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:Huggingface Diffusers DreamBooth Personalization
- Workflow:Interpretml Interpret Model Explanation And Visualization
- Workflow:Astronomer Astronomer cosmos Kubernetes dbt execution
- Workflow:Fede1024 Rust rdkafka Produce Consume Roundtrip
- Workflow:Lance format Lance Table Optimization
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Astronomer Astronomer cosmos Dbt docs generation
- Workflow:Princeton nlp Tree of thought llm Adding new task
- Workflow:Truera Trulens RAG With Guardrails
- Workflow:Spotify Luigi Database Ingestion Pipeline
Principles
- Principle:Eric mitchell Direct preference optimization Model Loading
- Principle:Ggml org Llama cpp Tokenization
- Principle:Microsoft BIPIA Training Data Construction
- Principle:MaterializeInc Materialize Version Resolution
- Principle:CarperAI Trlx Q Value Guided Generation
- Principle:OpenGVLab InternVL Component Model Assembly
- Principle:Nautechsystems Nautilus trader Maturin Build Configuration
- Principle:Mit han lab Llm awq NVILA Multimodal Architecture
- Principle:Guardrails ai Guardrails Pydantic Schema Definition
- Principle:Alibaba ROLL Segment Masked Policy Optimization
Implementations
- Implementation:Vllm project Vllm Test Pipeline Config
- Implementation:Open compass VLMEvalKit RBDash
- Implementation:Hpcaitech ColossalAI SimpleProducer
- Implementation:Pytorch Serve Marsgen
- Implementation:Guardrails ai Guardrails Merge
- Implementation:Apache Beam ExecutorServiceParallelExecutor
- Implementation:Scikit learn Scikit learn FetchOpenml
- Implementation:Open compass VLMEvalKit DeepSeekVL
- Implementation:EvolvingLMMs Lab Lmms eval MathVision Utils
- Implementation:Unstructured IO Unstructured Memray Partition
Heuristics
- Heuristic:Kserve Kserve Prefix Cache Consistency
- Heuristic:Mlflow Mlflow Prompt Cache Tuning
- Heuristic:Neuml Txtai LLM Context Window Fallback
- Heuristic:OpenBMB UltraFeedback Position Bias Mitigation
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:LaurentMazare Tch rs Hidden Dimension Alignment
- Heuristic:Truera Trulens Temperature Zero For Deterministic Scoring
- Heuristic:Sktime Pytorch forecasting Learning Rate Scheduling
- Heuristic:Sail sg LongSpec Tree Shape Configuration
Environments
- Environment:Sgl project Sglang Multimodal
- Environment:NVIDIA DALI CUDA GPU Environment
- Environment:MaterializeInc Materialize Dbt Materialize Runtime
- Environment:Huggingface Optimum Python Core Dependencies
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:Apache Kafka Gradle Build Environment
- Environment:Hiyouga LLaMA Factory Core Python GPU Environment