yogeshbalaji

Adversarial-training

PGD adversarial training in PyTorch

BigGAN-PyTorch

The author's officially unofficial PyTorch BigGAN implementation.

CVPR17_Unrolling_the_shutter

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

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"

Instance_Adaptive_Adversarial_Training

InvGAN

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

Meta-Learning-Domain-Generalization

Normalized-Wasserstein

Normalized Wasserstein for Mixture Distributions

robustOT

Robust Optimal Transport code

yogeshbalaji/Generate_To_Adapt

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

yogeshbalaji/robustOT

Robust Optimal Transport code

yogeshbalaji/Meta-Learning-Domain-Generalization

yogeshbalaji/InvGAN

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

yogeshbalaji/Adversarial-training

PGD adversarial training in PyTorch

yogeshbalaji/Normalized-Wasserstein

Normalized Wasserstein for Mixture Distributions

yogeshbalaji/EntropicGANs_meet_VAEs

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

yogeshbalaji/CVPR17_Unrolling_the_shutter

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

yogeshbalaji/Instance_Adaptive_Adversarial_Training

yogeshbalaji/BigGAN-PyTorch

The author's officially unofficial PyTorch BigGAN implementation.

yogeshbalaji/CIFAR10_training

Code for training CNN models on CIFAR dataset

yogeshbalaji/dataflow

data feeder using tensorpack.dataflow

yogeshbalaji/DynaMAZE

A maze game with dynamic maze connections

yogeshbalaji/hackathon

eea hackathon

yogeshbalaji/improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

yogeshbalaji/interactive_OT

Code for interactive visualization of optimal transport under mode imbalance

yogeshbalaji/MGAN

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

yogeshbalaji/models

Models and examples built with TensorFlow

yogeshbalaji/nn

yogeshbalaji/Progressive_training_GAN_pytorch

yogeshbalaji/pytorch-maml

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

yogeshbalaji/taskonomy

Taskonomy: Disentangling Task Transfer Learning

yogeshbalaji/torch7

http://torch.ch

yogeshbalaji/Virtual_lab_project

This is the virtual lab project under Prof. Nitin Chandrachoodan

yogeshbalaji/yogeshbalaji.github.io