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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:Scikit learn Scikit learn Supervised Classification
- Workflow:Langfuse Langfuse Otel ingestion pipeline
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:Dagster io Dagster ML Pipeline
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Cohere ai Cohere python Streaming Chat
Principles
- Principle:Kserve Kserve Graph Component Deployment
- Principle:Microsoft Autogen Agent Specialization
- Principle:VainF Torch Pruning YOLO Architecture Adaptation
- Principle:Marker Inc Korea AutoRAG Node Line Execution
- Principle:AnswerDotAI RAGatouille Training Configuration
- Principle:Microsoft Semantic kernel AI Service Registration
- Principle:Datahub project Datahub Scheduled Ingestion
- Principle:Dotnet Machinelearning LambdaMART Ranking
- Principle:LaurentMazare Tch rs Weight Loading
- Principle:NVIDIA DALI Image Resize
Implementations
- Implementation:Ggml org Llama cpp Q8dot Benchmark
- Implementation:Microsoft Autogen Studio Datamodel Types
- Implementation:Openai Openai python Container Create Params
- Implementation:Rapidsai Cuml KMeans DBSCAN HDBSCAN Init
- Implementation:Ollama Ollama Imagegen Manifest
- Implementation:ThreeSR Awesome Inference Time Scaling Write To Readme In Sorted Order Function
- Implementation:Confident ai Deepeval ConfidentInstrumentationSettings
- Implementation:Avdvg InjectGuard CSVLoader Load
- Implementation:Predibase Lorax OpenAI Client Configuration
- Implementation:Hiyouga LLaMA Factory Model Args
Heuristics
- Heuristic:Avhz RustQuant Learning Rate Tuning
- Heuristic:Kubeflow Kubeflow Issue Routing To Sub Repos
- Heuristic:Google research Deduplicate text datasets HACKSIZE Overlap Buffer
- Heuristic:OpenGVLab InternVL LoRA Alpha Scaling
- Heuristic:Alibaba ROLL GPU Memory Offload Strategy
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Tensorflow Serving Model Warmup Strategy
- Heuristic:Allenai Open instruct NCCL CUMEM Disable
- Heuristic:Bentoml BentoML Adaptive Batching Tuning
Environments
- Environment:NVIDIA DALI FFmpeg Environment
- Environment:Iterative Dvc Git SCM Environment
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Sgl project Sglang OpenAI
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:Apache Paimon Optional Extensions
- Environment:Ollama Ollama Go Runtime
- Environment:Apache Airflow Database Backend Environment