Play deep learning with CIFAR datasets
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Updated
Aug 27, 2020 - Python
Play deep learning with CIFAR datasets
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
Collection of Keras models used for classification
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Wide Residual Networks (WideResNets) in PyTorch
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Wide Residual Networks in Keras
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Various CNN models for CIFAR10 with Chainer
Handwritten digit recognition with MNIST & Keras
Companion repository for the blog article: https://www.endpointdev.com/blog/2019/01/speech-recognition-with-tensorflow/
Keras Implementation Residual Attention Network
Tool wear prediction by residual CNN
Wide Residual Networks implemented in TensorLayer and TensorFlow.
Residual Network of Residual Networks in Keras
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