Main Page
27,667
Total Pages
1,118
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.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| 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:Gretelai Gretel synthetics DataFrame Batch Synthesis
- Workflow:ClickHouse ClickHouse Building From Source
- Workflow:AUTOMATIC1111 Stable diffusion webui Checkpoint merging
- Workflow:OpenGVLab InternVL Multi Stage Pretraining
- Workflow:Ucbepic Docetl Playground Interactive Development
- Workflow:Langgenius Dify Plugin Installation and Configuration
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:Kubeflow Pipelines XGBoost Training Pipeline
- Workflow:Kubeflow Kubeflow Release Management
- Workflow:Ggml org Ggml MNIST Training And Evaluation
Principles
- Principle:Kubeflow Kubeflow Community Engagement
- Principle:Online ml River Streaming Anomaly Datasets
- Principle:Webdriverio Webdriverio Test Context Tracking
- Principle:Getgauge Taiko Input Clearing
- Principle:Bentoml BentoML Model Cleanup
- Principle:Infiniflow Ragflow Tag Feature Management
- Principle:Online ml River CluStream Clustering
- Principle:ArroyoSystems Arroyo Schema Definition
- Principle:Gretelai Gretel synthetics Tokenizer Training
- Principle:Facebookresearch Audiocraft Pretrained Compression Export
Implementations
- Implementation:OpenRLHF OpenRLHF Math reward func
- Implementation:Princeton nlp Tree of thought llm Get Task
- Implementation:ARISE Initiative Robosuite Reset From Xml String
- Implementation:Microsoft Playwright VideoRecorder
- Implementation:Sktime Pytorch forecasting Base Pkg
- Implementation:Evidentlyai Evidently SDK Datasets
- Implementation:Rapidsai Cuml Spectral Embedding
- Implementation:SeldonIO Seldon core Alibi Detect Training
- Implementation:Facebookresearch Habitat lab Rearrange V2 UI Overlay
- Implementation:Tensorflow Tfjs Training Weighted Test
Heuristics
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Promptfoo Promptfoo Warning Deprecated Cache Migration
- Heuristic:Hiyouga LLaMA Factory Gradient Checkpointing Memory Optimization
- Heuristic:Apache Spark Warning Deprecated DStream Streaming
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:Huggingface Datasets Shuffle Buffer Sizing
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Ggml org Llama cpp Context Size Alignment
- Heuristic:Protectai Llm guard ONNX Runtime Optimization
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
Environments
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:Microsoft Onnxruntime Sklearn Conversion Environment
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:MarketSquare Robotframework browser Docker Container
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:Getgauge Taiko Node Runtime
- Environment:OpenRLHF OpenRLHF Flash Attention Environment
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:TobikoData Sqlmesh Web UI Stack