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adversarial-training

PGD adversarial training in PyTorch

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

cifar10_training

Code for training CNN models on CIFAR dataset

cvpr17_unrolling_the_shutter

Repository for the project "Unrolling the Shutter: CNN to Correct Motion Distortions"

dataflow

data feeder using tensorpack.dataflow

dynamaze

A maze game with dynamic maze connections

entropicgans_meet_vaes

Official implementation of "EntropicGANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs"

generate_to_adapt

Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"

hackathon

eea hackathon

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

instance_adaptive_adversarial_training

interactive_ot

Code for interactive visualization of optimal transport under mode imbalance

invgan

Official codebase of our paper "Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Network For Secure Inference"

meta-learning-domain-generalization

mgan

Source code for the paper MGAN: Training Generative Adversarial Nets With Multiple Generators

models

Models and examples built with TensorFlow

nn

normalized-wasserstein

Normalized Wasserstein for Mixture Distributions

progressive_training_gan_pytorch

pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

robustot

Robust Optimal Transport code

taskonomy

Taskonomy: Disentangling Task Transfer Learning

torch7

http://torch.ch

virtual_lab_project

This is the virtual lab project under Prof. Nitin Chandrachoodan

yogeshbalaji.github.io