pcdarts-tf2PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.
Stars: ✭ 25 (-35.9%)
cifar10Predict CIFAR-10 labels with 88% accuracy using keras.
Stars: ✭ 32 (-17.95%)
Cifar 10 CnnPlay deep learning with CIFAR datasets
Stars: ✭ 756 (+1838.46%)
numpy-cnnA numpy based CNN implementation for classifying images
Stars: ✭ 47 (+20.51%)
gans-2.0Generative Adversarial Networks in TensorFlow 2.0
Stars: ✭ 76 (+94.87%)
srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Stars: ✭ 56 (+43.59%)
Neural ApiCAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Stars: ✭ 94 (+141.03%)
deeplearning-mpoReplace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO
Stars: ✭ 26 (-33.33%)
Chainer Cifar10Various CNN models for CIFAR10 with Chainer
Stars: ✭ 134 (+243.59%)
ResidualAttentionNetworkA Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
Stars: ✭ 104 (+166.67%)
DensenetMXNet implementation for DenseNet
Stars: ✭ 28 (-28.21%)
nih-chest-xraysA collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
Stars: ✭ 32 (-17.95%)
TensorMONKA collection of deep learning models (PyTorch implemtation)
Stars: ✭ 21 (-46.15%)
pytorch-cifar-model-zooImplementation of Conv-based and Vit-based networks designed for CIFAR.
Stars: ✭ 62 (+58.97%)
C2DPyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
Stars: ✭ 59 (+51.28%)
FreezeoutAccelerate Neural Net Training by Progressively Freezing Layers
Stars: ✭ 196 (+402.56%)
keras-deep-learningVarious implementations and projects on CNN, RNN, LSTM, GAN, etc
Stars: ✭ 22 (-43.59%)
ReZero-ResNetUnofficial pytorch implementation of ReZero in ResNet
Stars: ✭ 23 (-41.03%)
Pytorch Cifar100Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Stars: ✭ 2,423 (+6112.82%)
shake-drop pytorchPyTorch implementation of shake-drop regularization
Stars: ✭ 50 (+28.21%)
yolov3-iosUsing yolo v3 object detection on ios platform.
Stars: ✭ 55 (+41.03%)
Chexnet KerasThis project is a tool to build CheXNet-like models, written in Keras.
Stars: ✭ 254 (+551.28%)
ImagenetPytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Stars: ✭ 134 (+243.59%)
Semantic Segmentation SuiteSemantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Stars: ✭ 2,395 (+6041.03%)
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Stars: ✭ 165 (+323.08%)
awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
Stars: ✭ 419 (+974.36%)
PeleenetPeleeNet: An efficient DenseNet architecture for mobile devices
Stars: ✭ 128 (+228.21%)
Classification NetsImplement popular models by different DL framework. Such as tensorflow and caffe
Stars: ✭ 17 (-56.41%)
AlexNetAlexNet model from ILSVRC 2012
Stars: ✭ 35 (-10.26%)
ImagenetThis implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Stars: ✭ 126 (+223.08%)
DCGAN-CIFAR10A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
Stars: ✭ 18 (-53.85%)
HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Stars: ✭ 124 (+217.95%)
3d Densenet3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
Stars: ✭ 118 (+202.56%)
Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-ClassificationFully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
Stars: ✭ 25 (-35.9%)
SightseqComputer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
Stars: ✭ 116 (+197.44%)