This is your work, valued

Mountain View, CA

Yogesh Balaji

Advanced
@yogeshbalaji

I am a research scientist at Nvidia. My research interests are in the areas of machine learning and computer vision.

yogeshbalaji.github.io/

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

143

robustOT. Robust Optimal Transport code

43

Meta-Learning-Domain-Generalization. Python

29

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

15

Adversarial-training. PGD adversarial training in PyTorch

13

Normalized-Wasserstein. Normalized Wasserstein for Mixture Distributions

11

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

9

CVPR17_Unrolling_the_shutter. Repository for the project "Unrolling the Shutter: CNN to Correct Motion Distortions"

8

Instance_Adaptive_Adversarial_Training. Python

2