458 Open source projects that are alternatives of or similar to Pytorch Cifar Models

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

Kervolution Library in PyTorch (CVPR 2019 Oral)

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

practice on CIFAR10 with Keras

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

TensorBasicModel

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

Federated Learning mini-framework with Keras

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

ResNet for Cifar10

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

Implement popular models by different DL framework. Such as tensorflow and caffe

stock predict by cnn and lstm

Bottleneck Transformers for Visual Recognition

licence plate detection and recognition

Generative Adversarial Networks in TensorFlow 2.0

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

Implementation of Conv-based and Vit-based networks designed for CIFAR.

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

Finetune ConvNets with Tensorflow

The Convolutional Neural Network(CNN) for Android

Predict CIFAR-10 labels with 88% accuracy using keras.

Visualizer for Deep Neural Networks

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Train DenseNet on Cifar-10 based on Keras

Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

A deep learning library to provide algs in pure Numpy or Tensorflow.

Unofficial pytorch implementation of ReZero in ResNet

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Keras implementation of a ResNet-CAM model

PC-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.

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

A numpy based CNN implementation for classifying images

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

anomaly detection by one-class SVM

MODS with external deep descriptors/detectors

Keras implementation of temporal ensembling(semi-supervised learning)

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

PyTorch implementation of shake-drop regularization

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

A Keras implementation of MobileNetV2.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

使用tensorflow和cnn做的图像识别，对四种花进行了分类。

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Implementation of CNNs, RNNs, and many deep learning techniques in plain Numpy.

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)