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<div style="font-size:0.8em; color:#666; margin-top:2px;">Workflows</div> | |||
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<div style="font-size:0.8em; color:#666; margin-top:2px;">Principles</div> | |||
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<div style="font-size:0.8em; color:#666; margin-top:2px;">Implementations</div> | |||
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== Welcome to {{SITENAME}} == | == Welcome to {{SITENAME}} == | ||
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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 == | ||
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|} | |} | ||
== | == Explore Pages == | ||
=== Workflows === | === Workflows === | ||
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=== Principles === | === Principles === | ||
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=== Implementations === | === Implementations === | ||
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=== Heuristics === | === Heuristics === | ||
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=== Environments === | === Environments === | ||
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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:Mistralai Client python Azure Chat Completion
- Workflow:Mlflow Mlflow GenAI Evaluation
- Workflow:LaurentMazare Tch rs MNIST Training
- Workflow:Tensorflow Serving Model Export And Serving
- Workflow:Sgl project Sglang Frontend Language Multi Turn Chat
- Workflow:Hiyouga LLaMA Factory PPO RLHF Training
- Workflow:Ggml org Ggml GPT2 Text Generation
- Workflow:PeterL1n BackgroundMattingV2 Training pipeline
- Workflow:Datajuicer Data juicer Text Data Processing Pipeline
- Workflow:Mlc ai Mlc llm Python Engine Inference
Principles
- Principle:Lucidrains X transformers Encoder Decoder Configuration
- Principle:Neuml Txtai Embeddings Configuration
- Principle:OpenHands OpenHands Business Route Mounting
- Principle:OWASP Www project top 10 for large language model applications Real World Incident Cross Reference
- Principle:Confident ai Deepeval Span Level Test Cases
- Principle:Triton inference server Server Backend Integration Testing
- Principle:AUTOMATIC1111 Stable diffusion webui Prompt composition
- Principle:Datajuicer Data juicer Operator Dependency Management
- Principle:Romsto Speculative Decoding Rejection Sampling Adjustment
- Principle:Fastai Fastbook Feature Importance
Implementations
- Implementation:Langfuse Langfuse AggregateScores
- Implementation:FMInference FlexLLMGen DeepSpeed Runtime Utils
- Implementation:Confident ai Deepeval EvaluationResult
- Implementation:PrefectHQ Prefect Pyproject Configuration
- Implementation:Scikit learn Scikit learn MockingUtils
- Implementation:Mlc ai Mlc llm Attach Support Info
- Implementation:Allenai Open instruct Layer Init
- Implementation:Datahub project Datahub SparkLineageConf Builder
- Implementation:Datahub project Datahub StreamingDataSourceV2RelationVisitor
- Implementation:Lance format Lance UdfRegistration
Heuristics
- Heuristic:Microsoft Autogen Model Context Limiting
- Heuristic:Volcengine Verl Layered Summon Memory Tradeoff
- Heuristic:InternLM Lmdeploy KV Cache Memory Tuning
- Heuristic:InternLM Lmdeploy Backend Selection Strategy
- Heuristic:Wandb Weave Sentinel Value Handling
- Heuristic:Bigscience workshop Petals Randomized Rebalancing Intervals
- Heuristic:Huggingface Alignment handbook Liger Kernel Memory
- Heuristic:Apache Druid Explore Compare Query Strategy
- Heuristic:Cypress io Cypress Timeout Tuning
- Heuristic:Fastai Fastbook Batch Size Selection
Environments
- Environment:Iterative Dvc Python Runtime
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:Openai Evals Python Runtime
- Environment:SeldonIO Seldon core Kubernetes Cluster Environment
- Environment:Ray project Ray CI Build Matrix Environment
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Pytorch Serve Python PyTorch Runtime
- Environment:Sgl project Sglang Distributed
- Environment:Arize ai Phoenix Frontend Node 22