This repository contains the code for the project based on Adversarial Neural Cryptography implemented in PyTorch framework as part of the SMAI course offered at IIIT Hyderabad (Spring 2023)

( GCANN ) Guided Convergence Adversarial Neural Network

Awesome Domain Adaptation Python Toolbox

🤖 | Learning PyTorch through official examples

Adversarial Training on Transformer Networks to discover check-worthy factual claims

Adversarial Insight ML (AIML) - Python Package for Evaluating Machine Learning Image Classification Models' Robustness Against Adversarial Attacks

Domain Adaptation using External Knowledge for Sentiment Analysis

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Main Repository for my MSc thesis about Procedural content generation via machine learning applied to videogames levels (Doom I/II)

Implementation of Papers on Adversarial Examples

Repository for generating arts using modern algorithms such as deep convolutional generative nets or conv. variational autoencoders where data/images to be learned is scraped from wikiart.org

Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)

GAN with effective realistic behavior

Assessing Generative Models via Precision and Recall (official repository)

PyTorch implementation of the AAAI-21 paper "Dual Adversarial Label-aware Graph Neural Networks for Cross-modal Retrieval" and the TPAMI-22 paper "Integrating Multi-Label Contrastive Learning with Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval".

Awesome paper list with code about generative adversarial nets

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

A class-based styling approach for Real-Time Domain Adaptation in Semantic Segmentation applied within the realm of autonomous driving solutions. Final project from MLDL course 2020/2021

Trying out and learning about adversarial learning methods