185 Open source projects that are alternatives of or similar to gans-in-action

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

A basic and simple tool for code auto completion

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

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

An Algorithm to Quantify Robustness of Recurrent Neural Networks

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Attacking Optical Flow (ICCV 2019)

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

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Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

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Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

Improving MMD-GAN training with repulsive loss function

Pytorch implementation of CycleGAN.

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Natural Language Attacks in a Hard Label Black Box Setting.

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

Listing my favorite research papers 📝 from different fields as I read them.

The SimNets Architecture's Implementation in Caffe

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

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

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

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

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

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

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

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

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

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Official repository for the ShapeFormer Project

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

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Code for the unrestricted adversarial examples paper (NeurIPS 2018)

A convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶

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Variants of Vision Transformer and its downstream tasks

Tensorflow-based framework to ease training of generative models

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Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

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My pytorch implementation for GAN