231 Open source projects that are alternatives of or similar to Dcgan

Chainer implementation of recent GAN variants

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

MobileNetV3 in pytorch and ImageNet pretrained models

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

A light-weight, power efficient, and general purpose convolutional neural network

Powerful and efficient Computer Vision Annotation Tool (CVAT)

ImageNet pre-trained models with batch normalization for the Caffe framework

Generate mini-ImageNet with ImageNet for fewshot learning

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Unsupervised Feature Learning via Non-parametric Instance Discrimination

A Harder ImageNet Test Set (CVPR 2021)

Evaluation of the CNN design choices performance on ImageNet-2012.

Segmentation models with pretrained backbones. PyTorch.

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

The Simplest DCGAN Implementation

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Train the HRNet model on ImageNet

Interactive Image Generation via Generative Adversarial Networks

👁 Bulk-download all thumbnails from an ImageNet synset, with optional rescaling

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Label Studio is a multi-type data labeling and annotation tool with standardized output format

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Awesome Generative Adversarial Networks with tensorflow

Generate cat images with neural networks

Classification models trained on ImageNet. Keras.

🔥 Reproducibly benchmarking Keras and PyTorch models

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Unofficial PyTorch Reimplementation of RandAugment.

OpenMMLab Image Classification Toolbox and Benchmark

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

PyTorch implementation of PNASNet-5 on ImageNet

Friendly machine learning for the web! 🤖

Comparison of famous convolutional neural network models

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

🍊 🎑 Orange3 add-on for dealing with image related tasks

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

PyTorch to Keras model convertor

Corruption and Perturbation Robustness (ICLR 2019)