Main Page
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:NVIDIA DALI Image Classification Training PyTorch
- Workflow:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:BerriAI Litellm SDK Completion
- Workflow:Risingwavelabs Risingwave Docker Deployment
- Workflow:ARISE Initiative Robosuite Environment Setup And Simulation
- Workflow:InternLM Lmdeploy LLM Offline Batch Inference
- Workflow:Teamcapybara Capybara Selenium Driver Configuration
- Workflow:Testtimescaling Testtimescaling github io Automated Citation Tracking
- Workflow:Kubeflow Kubeflow Contributing To Kubeflow
- Workflow:Intel Ipex llm Pipeline Parallel Inference
Principles
- Principle:FlowiseAI Flowise Variable Management
- Principle:Tencent Ncnn Video Matting
- Principle:Deepspeedai DeepSpeed AutoTP Model Loading
- Principle:Apache Druid Visualization Module Selection
- Principle:Openai Evals YAML Registry Configuration
- Principle:FMInference FlexLLMGen HELM Dependency Installation
- Principle:Online ml River Drift Retraining
- Principle:Langchain ai Langchain Vector Store Initialization
- Principle:Apache Flink File Compaction Strategy
- Principle:Langfuse Langfuse Batch Export Format Transformation
Implementations
- Implementation:Googleapis Python genai Live Converters
- Implementation:Kornia Kornia Draw Primitives
- Implementation:Microsoft DeepSpeedExamples ZenFlow Finetune Llama
- Implementation:Evidentlyai Evidently Dataset As Dataframe
- Implementation:Datajuicer Data juicer PythonLambdaMapper
- Implementation:Ggml org Llama cpp Mmap
- Implementation:Avhz RustQuant Exponential Interpolation
- Implementation:Datajuicer Data juicer RemoveNonChineseCharacterlMapper
- Implementation:Google deepmind Mujoco MJWarp Passive
- Implementation:Huggingface Datasets WebDataset Builder
Heuristics
- Heuristic:Langgenius Dify Workflow Draft Hash Sync
- Heuristic:Predibase Lorax GPU Sampling Optimization
- Heuristic:Confident ai Deepeval Async Concurrency Tuning
- Heuristic:Apache Spark Build Fallback Strategies
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:Huggingface Diffusers Guidance Scale Defaults
- Heuristic:TA Lib Ta lib python Compatibility Mode Switching
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
Environments
- Environment:FMInference FlexLLMGen HuggingFace Access
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:BerriAI Litellm Redis Cache Backend
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:Tensorflow Serving Python Client Environment
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:Facebookresearch Habitat lab SLURM Distributed Environment
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:Online ml River Python Runtime Environment
- Environment:Diagram of thought Diagram of thought LLM API