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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. | 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 | '''Connect your AI coding agent.''' Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously: | ||
''' | * [https://github.com/Leeroo-AI/superml '''SuperML plugin'''] — converts your AI coding agent into an expert ML engineer with agentic memory | ||
* [https://github.com/Leeroo-AI/leeroopedia-mcp '''Leeroopedia MCP'''] — search over best-practices and skills of ML/AI | |||
* [https://github.com/leeroo-ai/kapso '''Kapso'''] — experimentation platform for autonomous AI/ML software building | |||
== Browse by Category == | == Browse by Category == | ||
Latest revision as of 11:45, 14 March 2026
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:Hpcaitech ColossalAI Supervised Finetuning
- Workflow:Langfuse Langfuse Dataset experiment pipeline
- Workflow:NVIDIA NeMo Curator Semantic Deduplication
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:Neuml Txtai Semantic Search Pipeline
- Workflow:Googleapis Python genai Multimodal Content Generation
- Workflow:Unslothai Unsloth Model Export And Deployment
- Workflow:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:Princeton nlp Tree of thought llm ToT BFS experiment
- Workflow:Lakeraai Pint benchmark Hugging Face Model Evaluation
Principles
- Principle:DistrictDataLabs Yellowbrick Manifold Embedding
- Principle:Norrrrrrr lyn WAInjectBench Per File Text Detection
- Principle:DataExpert io Data engineer handbook SCD Type 2 Transformation
- Principle:Bentoml BentoML Model Loading From Store
- Principle:Apache Airflow Callback Event Notification
- Principle:PrefectHQ Prefect Asset Materialization
- Principle:Microsoft Agent framework Workflow Agent Wrapping
- Principle:Huggingface Open r1 Model Saving and Publishing
- Principle:Alibaba ROLL MCoreAdapter Model Configuration
- Principle:Allenai Open instruct Distributed Data Loading
Implementations
- Implementation:NVIDIA TransformerEngine Padding C API
- Implementation:Apache Shardingsphere StandaloneMetaDataManagerPersistService Persist
- Implementation:Lucidrains X transformers BeliefStateWrapper
- Implementation:Kornia Kornia Otsu Threshold
- Implementation:Ggml org Ggml Sycl convert
- Implementation:Neuml Txtai MUVERA Pooling
- Implementation:ArroyoSystems Arroyo Public Ids
- Implementation:Huggingface Transformers AutoModelForCausalLM From Pretrained For Quantization
- Implementation:Alibaba MNN LLM Config JSON
- Implementation:Iterative Dvc Repo Status
Heuristics
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Image Size Multiple of Four
- Heuristic:Apache Kafka Unknown Record Type Upgrade Safety
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
- Heuristic:Allenai Open instruct Logprob Clamping
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
- Heuristic:Lance format Lance Fragment Sizing Strategy
- Heuristic:Facebookresearch Habitat lab DDPPO Straggler Preemption
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:Langchain ai Langgraph Checkpointer Selection Guide
Environments
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Huggingface Optimum GPTQ Quantization Environment
- Environment:Tencent Ncnn PyTorch Environment
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:Apache Paimon Optional Extensions
- Environment:Sgl project Sglang Prometheus
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:Truera Trulens Snowflake Connector Environment
- Environment:Hiyouga LLaMA Factory Core Python GPU Environment
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA