Showing 1-15 of 15 projects
Real-time anime upscaling with CNNs for 4K screens
Advanced AI Explainability library for computer vision models built with PyTorch.
An interactive visualization tool for learning Convolutional Neural Networks (CNNs) and deep learning.
A Matlab/Octave toolbox for building deep learning models, including neural nets, autoencoders, and CNNs.
A tutorial repository for learning deep learning with PyTorch, covering topics like CNNs, GANs, and RNNs.
A PyTorch implementation of the PWC-Net, a CNN-based optical flow estimation model for computer vision tasks.
A Python library that improves the stability and accuracy of convolutional neural networks (CNNs) in computer vision tasks.
A PyTorch library for training and evaluating convolutional neural networks (CNNs) for image retrieval.
MatConvNet: A deep learning framework for MATLAB, utilizing CUDA.
Automatic 2D-to-3D video conversion tool using convolutional neural networks.
A PyTorch template with implementations of classical CNNs, data augmentation, losses, and common ML algorithms.
A deep learning-based library for efficient lane detection, using self-attention distillation.
A collection of TensorFlow tutorials and implementations of deep learning models like CNNs, RNNs, and GANs.
A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.
A PyTorch library for building CNN-based text classification models.
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