deep-residual-networks
ResNet models
Original models for deep residual networks as described in a 2015 research paper, implemented using Caffe.
Deep Residual Learning for Image Recognition
6k stars
301 watching
2k forks
last commit: about 7 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
kaiminghe/resnet-1k-layers | Represents a neural network architecture with 1K layers, designed for image recognition tasks. | 906 |
rbgirshick/rcnn | A visual object detection system that combines region proposals with neural network features to improve detection performance. | 2,379 |
sanghyun-son/edsr-pytorch | Provides a PyTorch implementation of single image super-resolution | 2,443 |
dennybritz/deeplearning-papernotes | A collection of notes and summaries on various deep learning research papers, including their topics, techniques, and applications. | 4,410 |
kenshohara/3d-resnets-pytorch | PyTorch implementation of 3D ResNets for action recognition in video data | 3,900 |
apple/corenet | A deep neural network toolkit allowing researchers and engineers to train various models | 6,981 |
kaiyangzhou/deep-person-reid | A PyTorch library for training and retraining deep neural networks for person re-identification in images and videos. | 4,318 |
ibm/max-inception-resnet-v2 | An image classification model using a third-generation deep residual network. | 28 |
pistony/residualattentionnetwork | A Gluon implementation of Residual Attention Network for image classification tasks | 107 |
leoxiaobin/deep-high-resolution-net.pytorch | An implementation of a deep learning network for human pose estimation using high-resolution representations | 4,327 |
leriomaggio/deep-learning-keras-tensorflow | A comprehensive tutorial on building and training deep neural networks using Keras and TensorFlow | 2,948 |
idealo/image-super-resolution | A project providing tools and frameworks for improving the quality of low-resolution images through deep learning-based techniques. | 4,658 |
szagoruyko/wide-residual-networks | An experimental study on residual networks to improve depth and width trade-offs in neural networks | 1,298 |
titu1994/keras-resnext | An implementation of ResNeXt models in Keras, allowing for efficient deep neural networks for image classification. | 224 |
jhkim89/pyramidnet | A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models. | 129 |