590 Open source projects that are alternatives of or similar to Ali Pytorch

Pytorch implementation of Virtual Adversarial Training

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Generative Adversarial Networks in TensorFlow 2.0

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Semi-supervised GAN in "Improved Techniques for Training GANs"

The implementation of Relativistic average GAN with Keras

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Keras implementation of temporal ensembling(semi-supervised learning)

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

Spectral Normalization for Keras Dense and Convolution Layers

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

A curated list of dedicated resources and applications

Improving Document Binarization via Adversarial Noise-Texture Augmentation

This repository contains a new adversarial training method for Generative Conversational Agents

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

A curated list of awesome graph representation learning.

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

Tensorflow implementation for Paper "Learning Residual Images for Face Attribute Manipulation"

💡 A curated list of adversarial attacks on model explanations

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

Take further steps in the arms race of adversarial examples with only preprocessing.

Bringing Old Photo Back to Life (CVPR 2020 oral)

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Reproduction code for WGAN-LP

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

C++ Implementation of PyTorch Tutorials for Everyone

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Tensorflow ResNet implementation on cifar10

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Training a MNIST classifier, and use it to compute inception score (ICP)

Theano implementation of XNOR-Net

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

Official repository of JSI-GAN (Accepted at AAAI 2020).

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

A Toolbox for Adversarial Robustness Research

Composable GAN framework with api and user interface

An implementation of CycleGan using TensorFlow

Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch

The codes of VAE-GAN model for 3d shape reconstruction from depth data

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Must-read Papers on Textual Adversarial Attack and Defense