Showing 1-20 of 60 projects
YOLO models for computer vision tasks
A collection of PyTorch image encoders/backbones with training, evaluation, and inference scripts.
Open-source data labeling tool for AI/ML projects
Image annotation tool for computer vision projects
An official implementation of the Swin Transformer, a hierarchical vision transformer for image classification and segmentation.
CVAT is an industry-leading data engine for machine learning, trusted by teams for annotating data at scale.
Fast and flexible image augmentation library for computer vision and machine learning projects.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Advanced AI Explainability library for computer vision models built with PyTorch.
A comprehensive collection of CVPR conference papers, code, and interpretation resources for computer vision and deep learning enthusiasts.
Refine high-quality datasets and visual AI models with this Python library for active learning and data curation.
A collection of techniques for deep learning with satellite and aerial imagery, including object detection and classification.
An open-source, large language model-based multimodal dialogue system that achieves near-GPT-4o performance.
A comprehensive repository for computer vision best practices, code samples, and documentation.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
Curated list of Machine Learning, NLP, Vision, and Recommender Systems project ideas for developers.
Effortless data labeling with AI support from Segment Anything and other powerful models.
Provides AI-powered tools and samples for developers to build cutting-edge applications with Microsoft AI.
An open-source toolkit for computer vision tasks, supporting a wide range of deep learning models and applications.
A comprehensive visual classification and recognition library powered by the PaddlePaddle deep learning framework.
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