Awesome Domain Adaptation Python Toolbox
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Updated
May 29, 2024 - Python
Awesome Domain Adaptation Python Toolbox
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
🤖 | 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)
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
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