Showing 101-120 of 126 projects
A deep learning library for EEG tasks classification, built with TensorFlow.
CNN for Watermark Removal using Deep Image Prior with Pytorch, a powerful tool for image restoration tasks.
Video classification tools using 3D ResNet for action recognition and computer vision tasks.
Source code for a research paper exploring the relationship between self-attention and convolutional layers.
Implementation of the QuickDraw game, a computer vision and deep learning project focused on image classification.
Unofficial PyTorch implementation of the Conformer model for speech recognition tasks.
A Python library for OCR text recognition using a CNN-based seq2seq model with visual attention, compatible with Google Cloud ML Engine.
A Python library for Chinese sentiment analysis using CNN, Bi-LSTM, and text classification.
PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.
A PyTorch library for training and deploying efficient computer vision models using ViT-based architectures.
A collection of research papers and resources on computer vision tasks like image classification, object detection, and face recognition.
Tutorials on implementing image classification architectures using PyTorch and TorchVision.
A deep learning-based library for efficient lane detection, using self-attention distillation.
A PyTorch implementation of Prototypical Networks for Few-Shot Learning, a powerful technique for training AI models on small datasets.
A C++ implementation of popular object detection frameworks like Cascade R-CNN.
A repository containing diagrams for visualizing neural network architectures, useful for AI/ML developers.
A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.
An open-source Python library for building gesture recognition models using Convolutional Neural Networks (CNN) and computer vision.
A PyTorch library for building CNN-based text classification models.
A toolbox for open-world and high-quality image segmentation, with pre-trained models and PyTorch-based implementation.
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