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== Welcome to {{SITENAME}} == | == Welcome to {{SITENAME}} == | ||
'''Your ML & Data Knowledge Wiki.''' | '''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: | |||
* [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 == | ||
| Line 15: | Line 44: | ||
! Category !! Description !! Browse | ! Category !! Description !! Browse | ||
|- | |- | ||
| '''Workflows''' || Step-by-step processes and procedures || [[Special:AllPages/Workflow:|Browse All]] | || '''Workflows''' || Step-by-step processes and procedures || [[Special:AllPages/Workflow:|Browse All]] | ||
|- | |- | ||
| '''Principles''' || Core ideas and foundational knowledge || [[Special:AllPages/Principle:|Browse All]] | || '''Principles''' || Core ideas and foundational knowledge || [[Special:AllPages/Principle:|Browse All]] | ||
|- | |- | ||
| '''Implementations''' || Code-level details and modules || [[Special:AllPages/Implementation:|Browse All]] | || '''Implementations''' || Code-level details and modules || [[Special:AllPages/Implementation:|Browse All]] | ||
|- | |- | ||
| '''Heuristics''' || Best practices and guidelines || [[Special:AllPages/Heuristic:|Browse All]] | || '''Heuristics''' || Best practices and guidelines || [[Special:AllPages/Heuristic:|Browse All]] | ||
|- | |- | ||
| '''Environments''' || Setup and configuration guides || [[Special:AllPages/Environment:|Browse All]] | || '''Environments''' || Setup and configuration guides || [[Special:AllPages/Environment:|Browse All]] | ||
|} | |} | ||
== | == 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
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:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:LLMBook zh LLMBook zh github io Data Preprocessing Pipeline
- Workflow:Treeverse LakeFS S3 Gateway Integration
- Workflow:OpenBMB UltraFeedback Dataset Construction
- Workflow:AUTOMATIC1111 Stable diffusion webui Image to image generation
- Workflow:Spotify Luigi Spark Processing Pipeline
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:BerriAI Litellm Observability Integration
- Workflow:MarketSquare Robotframework browser Plugin Development
Principles
- Principle:Webdriverio Webdriverio ESLint Plugin Architecture
- Principle:OpenHands OpenHands Auth Setup
- Principle:Tensorflow Serving Class Registration Pattern
- Principle:Facebookresearch Habitat lab Task Dataset Selection
- Principle:Googleapis Python genai Generation Configuration
- Principle:Kubeflow Pipelines Combined Control Flow
- Principle:Snorkel team Snorkel Multitask Evaluation Prediction
- Principle:Elevenlabs Elevenlabs python Text Source Preparation
- Principle:Neuml Txtai Task Wrapping
- Principle:Google deepmind Mujoco MJX Benchmarking
Implementations
- Implementation:TA Lib Ta lib python Abstract Function Constructor
- Implementation:Huggingface Transformers Load Adapter
- Implementation:Apache Paimon AuthBase
- Implementation:NVIDIA TransformerEngine Multi Tensor C API
- Implementation:CARLA simulator Carla PythonUtil
- Implementation:Ucbepic Docetl Utils
- Implementation:Google deepmind Mujoco API References Header
- Implementation:Datajuicer Data juicer SpecifiedNumericFieldFilter
- Implementation:FlowiseAI Flowise GetEvaluation
- Implementation:Sdv dev SDV HMASynthesizer Init
Heuristics
- Heuristic:Gretelai Gretel synthetics Parallel Generation CUDA Disable
- Heuristic:Truera Trulens Feedback Score Thresholds
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:Recommenders team Recommenders SAR Cold Start Items
- Heuristic:Risingwavelabs Risingwave Memory Cache Eviction Policy
- Heuristic:Promptfoo Promptfoo Retry With Jitter
- Heuristic:Vibrantlabsai Ragas Nest Asyncio Uvloop Compatibility
- Heuristic:OpenGVLab InternVL Gradient Checkpointing Memory
- Heuristic:Dagster io Dagster Record Over Dataclass
Environments
- Environment:Protectai Llm guard ONNX Runtime Acceleration
- Environment:Pytorch Serve CUDA GPU Environment
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Cohere ai Cohere python Cohere API Credentials
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Vllm project Vllm AWS ECR
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop