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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 == | == Explore Pages == | ||
=== Workflows === | === Workflows === | ||
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:PacktPublishing LLM Engineers Handbook Dataset Generation
- Workflow:Openai Openai python Image Generation
- Workflow:Risingwavelabs Risingwave Docker Deployment
- Workflow:Intel Ipex llm Pipeline Parallel Inference
- Workflow:Duckdb Duckdb Extension Development And Distribution
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
- Workflow:NVIDIA NeMo Curator Text Curation Pipeline
- Workflow:Microsoft Playwright AI agent driven testing
- Workflow:VainF Torch Pruning Vision Transformer Pruning
- Workflow:Helicone Helicone LLM Request Proxy Logging
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui Txt2img parameter configuration
- Principle:Langchain ai Langgraph Error Handling
- Principle:Eventual Inc Daft Resource Configuration
- Principle:Deepspeedai DeepSpeed Op Builder System
- Principle:Zai org CogVideo Lookup Free Quantization
- Principle:Groq Groq python Batch Results Retrieval
- Principle:Duckdb Duckdb Quantile Estimation
- Principle:BerriAI Litellm API Key Management
- Principle:Alibaba MNN LLM Model Export
- Principle:Pola rs Polars Window Function Application
Implementations
- Implementation:LaurentMazare Tch rs GAN Example
- Implementation:Apache Paimon FileStorePathFactory
- Implementation:Huggingface Transformers Create Dummy Models
- Implementation:Ollama Ollama Imagegen MLX Dynamic
- Implementation:Bitsandbytes foundation Bitsandbytes Quantize Blockwise
- Implementation:Intel Ipex llm Alpaca Lora Finetune GPU
- Implementation:Googleapis Python genai Batches
- Implementation:Guardrails ai Guardrails Rail Schema
- Implementation:Openai Openai node ChatCompletionStream
- Implementation:Apache Druid ServicesView
Heuristics
- Heuristic:Apache Flink Bin Packing Complexity Guard
- Heuristic:FMInference FlexLLMGen Weight Compression 4bit
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Openai Openai node Stream Usage Interruption
- Heuristic:Truera Trulens Rate Limiting And Retry Strategy
- Heuristic:Google deepmind Mujoco MJX Benchmarking Tips
- Heuristic:ArroyoSystems Arroyo Stateful Operator TTL
- Heuristic:Liu00222 Open Prompt Injection Cosine Similarity Segmentation Threshold
Environments
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Promptfoo Promptfoo Python Runtime
- Environment:TobikoData Sqlmesh BigQuery Connection
- Environment:Vllm project Vllm Environment Variables
- Environment:DevExpress Testcafe Firefox Marionette
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:Neuml Txtai Python Core Environment
- Environment:Teamcapybara Capybara Ruby And Gem Dependencies
- Environment:CrewAIInc CrewAI LLM Provider Credentials