Code to train RL agents along with Adversarial distrubance agents
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Updated
Mar 21, 2017 - Python
Code to train RL agents along with Adversarial distrubance agents
Gym environments modified with adversarial agents
Reverse engineers a binary classifier using only 1 of the classes and without making queries.
Models of adversarial attacks and defenses of images, written in TensorFlow.
This repository contains a new adversarial training method for Generative Conversational Agents
SegAN: Semantic Segmentation with Adversarial Learning
PyTorch implementation of Adversarially Learned Inference (BiGAN).
Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)
Photo Optimizing Adversarial Net with Policy Gradient Method
A Tensorflow implementation of Adversarial Shared-Private Model for Multi-Task Learning and Transfer Learning.
Veva-One decentralized token ratings system
A Tensorflow implementation of Domain Transfer Network.
Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".
Unsupervised Machine Translation Model for data augmentation
SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning With Semantic Role Labeling
conditional GAN for rock classification
LimbicAI is an AI that induces emotions like fear in AI.
Generative model formed by two adversarial artificial neural networks. Implemented with Keras using Tensorflow backend.
Adversarial Semantic Scene Completion from a Single Depth Image, accepted in 3DV 2018
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