All projects contain code and may have a project page too. I highly recommend checking out the code as well if you’re interested in the project. We can also chat about it (shoot me an email).
Data augmentation for fewshot learning
MA3 - Model Agnostic Adversarial Augmentation for Few Shot learning (Best paper CVPR workshop 2020)
Objects that sound
Unofficial implementation of the paper "Objects that Sound" by Arandjelović et. al. Course project for Advanced Machine Learning course at IIT Bombay.
Reward bias in GAIL
Addressing reward bias in Adversarial Imitation Learning with unbiased reward functions in Tensorflow. Accepted at Deep RL workshop at NeurIPS 2020.
Automatic watermark removal
Perhaps my most starred project. This was a project that was built as part of project for CS663 (Digital Image Processing). This is a crude Python implementation of the paper "On The Effectiveness Of Visible Watermarks", Tali Dekel, Michael Rubinstein, Ce Liu and William T. Freeman, Conference on Computer Vision and Pattern Recongnition (CVPR), 2017.
Variational Autoencoder with Arbitrary Conditioning
Unofficial implementation of the paper ICLR '19 paper "Variational Autoencoder with Arbitrary Conditioning"