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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:DistrictDataLabs Yellowbrick Classification Model Evaluation
- Workflow:Apache Spark Application Submission
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
- Workflow:Turboderp org Exllamav2 Bulk Dataset Inference
- Workflow:Microsoft DeepSpeedExamples CIFAR10 Getting Started
- Workflow:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:Nightwatchjs Nightwatch Page Object Pattern
- Workflow:Apache Shardingsphere Shadow Database Routing
- Workflow:Openclaw Openclaw Plugin And Skill Extension
- Workflow:Kubeflow Pipelines XGBoost Training Pipeline
Principles
- Principle:Langchain ai Langchain Pre Release Validation
- Principle:Mistralai Client python Stream Lifecycle Management
- Principle:Isaac sim IsaacGymEnvs Task Selection and Configuration
- Principle:AUTOMATIC1111 Stable diffusion webui Img2img parameter configuration
- Principle:Googleapis Python genai Generation Configuration
- Principle:Sdv dev SDV Metadata Detection
- Principle:FlowiseAI Flowise Evaluation Dataset Creation
- Principle:Datahub project Datahub Recipe Configuration
- Principle:SeleniumHQ Selenium Page Object Test Design
- Principle:Openai Evals YAML Registry Configuration
Implementations
- Implementation:Ggml org Ggml Gpt2 eval
- Implementation:Sgl project Sglang Get Model Loader
- Implementation:Kserve Kserve TrainedModel Reconciler
- Implementation:Cohere ai Cohere python API Key From Environment
- Implementation:Ucbepic Docetl Count Tokens
- Implementation:OpenGVLab InternVL LazySupervisedDataset
- Implementation:Scikit learn Scikit learn OptimizeUtils
- Implementation:OpenGVLab InternVL EvaCLIP Configuration
- Implementation:Tensorflow Tfjs Container Test
- Implementation:Mistralai Client python GCP Chat And Fim Complete
Heuristics
- Heuristic:Romsto Speculative Decoding Filler Top K Tuning
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:Apache Dolphinscheduler Epoll Vs NIO Selection
- Heuristic:Alibaba ROLL Dynamic Batching Token Limits
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Hpcaitech ColossalAI Gradient Checkpointing Memory Tip
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Huggingface Diffusers VAE Scaling Factors
- Heuristic:Mlflow Mlflow Model Signature Inference Tips
- Heuristic:VainF Torch Pruning GQA Head Pruning Constraints
Environments
- Environment:Vllm project Vllm CUDA Runtime
- Environment:DataTalksClub Data engineering zoomcamp Kestra Orchestration Environment
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:Huggingface Datasets Lance Dependencies
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Huggingface Transformers Flash Attention 2 Env
- Environment:Intel Ipex llm NPU Environment