ResNet
by tornadomeet
Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet
AI summary
ResNet replication
Reproducing ResNet-v2 with MXNet on ImageNet and CIFAR10 datasets using Python.
- stars
- 559
- forks
- 199
- watching
- 40
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
ResNet replication
An implementation of Residual Networks In Residual Networks using Chainer.
ResNet simulator
Reproduces ResNet-V3 with PyTorch for computer vision tasks
Deep learning models
Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets.
ResNet implementation
An implementation of Residual Networks using Keras' functional API
ResNet library
Provides implementations and checkpoints for various ResNet variants using JAX and Flax.
Deep Learning Model
A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks.
ResNet variant
An open-source implementation of a res2net module using Keras and TensorFlow backend.
Neural net model
An MXNet implementation of a modified deep neural network architecture for image classification
Image classifier
An implementation of Squeeze-and-Excitation Networks in MXNet for image classification tasks.
Image segmentation model
Reproduces the performance of PSPNet in Tensorflow using ResNets and multiple segmentation databases.
MobileNetV2 implementation
Reproduction of MobileNetV2 using MXNet
Deep network architecture
An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets.
Invertible networks
Deep invertible neural network implementation using PyTorch for image recognition and reconstruction tasks.
Image classifier
PyTorch implementation of wide residual networks for image classification tasks on CIFAR-10 and CIFAR-100 datasets
Neural net architecture
An implementation of a deep neural network architecture for image classification tasks
Featured in 1 awesome list
Each link jumps to the spot where the list mentions ResNet.
