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:Facebookresearch Habitat lab PointNav PPO Training
- Workflow:Deepset ai Haystack RAG Pipeline
- Workflow:Allenai Open instruct Tulu3 Full Post Training
- Workflow:Isaac sim IsaacGymEnvs Factory Assembly Training
- Workflow:Treeverse LakeFS S3 Gateway Integration
- Workflow:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Microsoft LoRA GPT2 NLG Finetuning
- Workflow:ArroyoSystems Arroyo Local Pipeline Execution
- Workflow:Getgauge Taiko Interactive Test Recording
- Workflow:Apache Paimon Vector Similarity Search
Principles
- Principle:Langgenius Dify Plugin Installation
- Principle:Getgauge Taiko Runtime Configuration
- Principle:Recommenders team Recommenders SAR Model Training
- Principle:Turboderp org Exllamav2 Image Embedding Extraction
- Principle:Explodinggradients Ragas Swarm Message Conversion
- Principle:Googleapis Python genai Content Generation With Tools
- Principle:Datahub project Datahub Actions Deployment
- Principle:Infiniflow Ragflow Embedding Generation
- Principle:Kubeflow Pipelines Recursive Sub Pipelines
- Principle:Alibaba ROLL LoRA Checkpoint Merging
Implementations
- Implementation:Tencent Ncnn SimpleOCV
- Implementation:Tensorflow Tfjs Normalization Test
- Implementation:SeleniumHQ Selenium Closure UI PaletteRenderer
- Implementation:Duckdb Duckdb ConcurrentQueue
- Implementation:Avhz RustQuant ISO 4217
- Implementation:Hiyouga LLaMA Factory Evaluator
- Implementation:Scikit learn Scikit learn FetchRcv1
- Implementation:Microsoft Onnxruntime JsPackageLock
- Implementation:Google deepmind Mujoco User API
- Implementation:Deepspeedai DeepSpeed Random LTD Binding
Heuristics
- Heuristic:Apache Airflow DAG Complexity Reduction
- Heuristic:Norrrrrrr lyn WAInjectBench L2 Normalize CLIP Embeddings
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:Sgl project Sglang Memory Fraction Tuning
- Heuristic:Huggingface Alignment handbook Global Batch Size Scaling
- Heuristic:Openclaw Openclaw Conservative Error Retry Classification
- Heuristic:OpenBMB UltraFeedback Score 10 Anomaly Correction
- Heuristic:Getgauge Taiko Browser Launch Flags
- Heuristic:Trailofbits Fickling Severity Threshold Selection
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
Environments
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:Huggingface Datasets Search Dependencies
- Environment:Huggingface Datatrove Processing Dependencies
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Datahub project Datahub Frontend Build
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Tensorflow Tfjs Node Native Runtime