ONNX (Open Neural Network Exchange) is an open ecosystem that provides an open source format for AI models, including deep learning and traditional ML. It defines an extensible computation graph model, built-in operators, and standard data types, focusing on inferencing capabilities. Widely supported across frameworks and hardware, it enables interoperability and accelerates AI innovation.
Streamlit is an open-source app framework that turns Python scripts into shareable web apps in minutes. It enables data scientists and AI/ML engineers to build interactive data apps like dashboards, reports, or chat apps using pure Python, without front-end experience.
VLMEvalKit is an open-source evaluation toolkit for large vision-language models (VLMs/LVLMs). It enables one-command evaluation across many benchmarks, supports generation-based evaluation with optional LLM answer extraction, and provides leaderboards and reproducible pipelines.
