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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'''] — full-stack AI/ML coding agent | ||
* [https://github.com/Leeroo-AI/leeroopedia-mcp '''Leeroopedia MCP'''] — knowledge search for any coding agent | |||
== Browse by Category == | == Browse by Category == | ||
Revision as of 11:42, 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 — full-stack AI/ML coding agent
- Leeroopedia MCP — knowledge search for any coding agent
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:ChenghaoMou Text dedup Bloom Filter Deduplication
- Workflow:Webdriverio Webdriverio WDIO Testrunner Setup
- Workflow:Zai org CogVideo Diffusers LoRA Finetuning
- Workflow:Nightwatchjs Nightwatch E2E Test Authoring
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
- Workflow:Promptfoo Promptfoo LLM Evaluation
- Workflow:ArroyoSystems Arroyo Checkpoint Recovery
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:Groq Groq python Audio Transcription
Principles
- Principle:LaurentMazare Tch rs Convolutional Layer
- Principle:Langgenius Dify Code Quality
- Principle:AUTOMATIC1111 Stable diffusion webui Webui Performance Profiling
- Principle:Ggml org Ggml Quantization Block Formats
- Principle:Treeverse LakeFS Documentation Site Configuration
- Principle:OWASP Www project top 10 for large language model applications Translation Quality Review
- Principle:SqueezeAILab ETS Tree Node Expansion
- Principle:Google deepmind Mujoco Parallel Constraint Solving
- Principle:Sail sg LongSpec Benchmark Data Preparation
- Principle:Apache Airflow Task Instance State
Implementations
- Implementation:Ggml org Llama cpp Memory Header
- Implementation:Apache Druid SqlInput
- Implementation:CarperAI Trlx NeMo SFT Trainer
- Implementation:Puppeteer Puppeteer Cdp HTTPRequest
- Implementation:TobikoData Sqlmesh SelectEnvironment
- Implementation:NVIDIA NeMo Curator AudioBatch
- Implementation:Intel Ipex llm LangChain RAG Chain
- Implementation:CrewAIInc CrewAI Embedder Config
- Implementation:Tensorflow Serving static manager h
- Implementation:Googleapis Python genai GenerateContentResponse Access
Heuristics
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:Wandb Weave Batch Processing Tuning
- Heuristic:Cohere ai Cohere python HTTP Retry Backoff Strategy
- Heuristic:Allenai Open instruct Polyak Reference Update
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:Mlc ai Mlc llm GPU Memory Budget Tuning
- Heuristic:Langchain ai Langchain Pydantic V2 Configuration Tips
- Heuristic:LMCache LMCache Prefix Based Retrieval Pattern
- Heuristic:Vllm project Vllm KV Cache Block Size Selection
- Heuristic:Vespa engine Vespa Warning Deprecated Cloud API Constructors
Environments
- Environment:Getgauge Taiko Docker Container
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:Avdvg InjectGuard CUDA GPU
- Environment:Sgl project Sglang ROCm
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Run llama Llama index Sentence Transformers Finetuning
- Environment:Huggingface Trl DeepSpeed Environment
- Environment:NVIDIA DALI PyTorch Environment
- Environment:BerriAI Litellm Provider API Credentials