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:FMInference FlexLLMGen Data Wrangling Batch Inference
- Workflow:Iterative Dvc Experiment Tracking
- Workflow:ClickHouse ClickHouse Building From Source
- Workflow:ThreeSR Awesome Inference Time Scaling Automated Paper Addition
- Workflow:Sgl project Sglang Structured Output Generation
- Workflow:Run llama Llama index Embedding Finetuning
- Workflow:Kubeflow Kubeflow AI Lifecycle Pipeline
- Workflow:CARLA simulator Carla Traffic Generation
- Workflow:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:Elevenlabs Elevenlabs python Conversational AI Agent
Principles
- Principle:Webdriverio Webdriverio BrowserStack Session Management
- Principle:Getgauge Taiko Script Execution
- Principle:Haotian liu LLaVA Benchmark Metric Computation
- Principle:Scikit learn contrib Imbalanced learn Index Balanced Accuracy
- Principle:DistrictDataLabs Yellowbrick Class Prediction Error Analysis
- Principle:Huggingface Optimum Pipeline Inference Execution
- Principle:Hpcaitech ColossalAI Retrieval Augmented QA
- Principle:Tensorflow Tfjs Autoregressive Text Generation
- Principle:Huggingface Diffusers Pipeline Loading
- Principle:Onnx Onnx Model Loading
Implementations
- Implementation:Eventual Inc Daft Read Csv
- Implementation:Promptfoo Promptfoo ApiProvider Interface
- Implementation:Pyro ppl Pyro ReplayMessenger
- Implementation:Lakeraai Pint benchmark HuggingFaceModelEvaluation Evaluate
- Implementation:Arize ai Phoenix RAG Span Helpers
- Implementation:Huggingface Datasets Translation
- Implementation:Allenai Open instruct HFDataLoader
- Implementation:Ollama Ollama XCmd Run
- Implementation:Alibaba MNN Protobuf Message H
- Implementation:Google deepmind Dm control MJCF Physics
Heuristics
- Heuristic:Helicone Helicone Cost Precision Multiplier
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
- Heuristic:Pyro ppl Pyro Guide Initialization Strategy
- Heuristic:Openai Openai agents python GPT 5 Reasoning Settings
- Heuristic:Kubeflow Pipelines Resource Sizing For Components
- Heuristic:Scikit learn Scikit learn Feature Scaling Numerical Stability
Environments
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Openai Evals OpenAI API Configuration
- Environment:Onnx Onnx Python Runtime Environment
- Environment:Google deepmind Dm control GLFW Desktop Rendering
- Environment:Microsoft Agent framework API Credentials
- Environment:Apache Spark Kubernetes Runtime
- Environment:OpenRLHF OpenRLHF vLLM Environment
- Environment:InternLM Lmdeploy Python Dependencies