Hmumu classifiers trained to be fair w.r.t. the invariant mass.
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Updated
Feb 26, 2019 - Python
Hmumu classifiers trained to be fair w.r.t. the invariant mass.
Some machine learning practice
Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.
Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.
Collection of generative models in Pytorch version.
The simplest implementation for playing Atari games using game screen as input.
Data augmentation for Captcha
CGAN to generate anime-like faces
GAN trained to generate Fashion MNIST images
This repository contains implementations of GANSynth, WaveGAN and SpecGAN, more details on the report.
Adversarial Insight ML (AIML) - Python Package for Evaluating Machine Learning Image Classification Models' Robustness Against Adversarial Attacks
Keras hands on with GANs
A game of knight's Isolation between two AIs, to test minimax alpha-beta search and Monte Carlo tree search
Code for the paper: Adversarial Inference by Matching priors and conditionals
Single-Image Super-Resolution with Generative Adversarial Networks - Keras implementation
MATE21 - Tópicos em Computação Visual III
Pytorch implementation of Wasserstein Generative Adversarial Network (WGAN)
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
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