683 Open source projects that are alternatives of or similar to adversarial-recommender-systems-survey

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

The easiest way to collect, manage, and consume real-time data to fuel personalized experiences.

my own deep learning mastery roadmap

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

Fashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

Two-stage GANs that generate fingerstyle guitarist images from audio.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Nosto plugin for Prestashop

Path Planning using Generative Adversarial Network (GAN)

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

3D-aware GANs based on NeRF (arXiv).

Provides tools for literature snowballing

No description or website provided.

Unofficial pytorch implementation of algorithms for domain adaptation

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Repository for MAD-GAN Paper done in ML CAMP Jeju

cRNN-GAN to generate music by training on instrumental music (midi)

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

This is our implementation of SAMN: Social Attentional Memory Network

Generate image from text with Generative Adversarial Network

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

Know all your users. Scalable front-end (anon) personalization & attribution

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

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

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Summary of social recommendation papers and codes

Benchmarking synthetic data generation methods.

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

🤖A list of resources to help anyone getting started with GANs 🤖

Generative Adversarial Networks in TensorFlow 2.0

KitanaQA: Adversarial training and data augmentation for neural question-answering models

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

An Algorithm to Quantify Robustness of Recurrent Neural Networks

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Tensorflow Implementation of DiscoGAN

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

Tensorflow-based framework to ease training of generative models

Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "

Pytorch implementation of multitask CycleGAN with auxiliary classification loss