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A clean and concise Python library that implements the SIFT (Scale-Invariant Feature Transform) algorithm for computer vision tasks.
A Python library that implements Spatial Transformer Networks, a type of deep learning model that can learn spatial transformations.
Unofficial PyTorch implementation of Self-critical Sequence Training for Image Captioning.
A simple Java library for working with images, focused on developers who use AI tools.
This Python library provides a method for removing obstructions from images, useful for AI-powered computer vision applications.
A contrastive learning-based semi-supervised medical image segmentation network for surgical tools and video analysis.
An infrared object detection dataset and benchmark for few-shot learning.
Lightweight PyTorch models for real-time semantic segmentation on computer vision tasks.
A Python library for Chinese named entity recognition using a Flat-Lattice Transformer model.
An efficient pose estimation algorithm for video-based object detection and tracking.
PyTorch implementation of Barlow Twins, a self-supervised learning technique for computer vision tasks.
Picasso is a CNN visualizer that helps developers understand and interpret convolutional neural networks.
CodeXL is a comprehensive tool suite that enables developers to harness the benefits of CPUs, GPUs and APUs.
High-level network definitions with pre-trained weights in TensorFlow for deep learning and computer vision tasks.
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