Name: Abhay Kumar
Type: User
Company: UW-Madison || Samsung R&D Institite || IIT Kanpur
Bio: University of Wisconsin-Madison ||
Samsung R&D Institite- India, Bangalore (SRIB) ||
Indian Institute of Technology Kanpur (IIT Kanpur) (IITK) ||
Location: Madison
Blog: https://abhayk1201.github.io/
Abhay Kumar's Projects
100 Days of ML Coding
Personal homepage: http://pages.cs.wisc.edu/~abhayk/ OR
The classical papers and codes about generative adversarial nets
A curated list of deep learning resources for computer vision
Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning (https://arxiv.org/abs/1902.02671)
Using natural language for disambiguation of styleGAN generated images towards exact Image recovery
Matlab codes for Traditional CV applications (Image Superimposing, Object Recognition, Edge Detection Hough Transform, Image Mosaicking App, Surface Reconstruction, Refocus App, Object Tracking)
UW-Madison course CS220/CS319 project repository for Spring'21 semester
Course Project for CS766
Course Project for CS769: Advanced Natural Language Processing
https://abhayk1201.github.io/765_DC3/index.html
This repository contains the code for the real data experiments presented in our paper βAn embarrassingly simple approach to zero-shot learningβ, presented at ICML 2015.
Extremely simple one-shot learning in Python
this is for test
Pytorch Implementation of GoEmotions ππ’π±
A complete daily plan for studying to become a Google software engineer.
Google Research
HDLTex: Hierarchical Deep Learning for Text Classification
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
This repository contains the codes for LipGAN. LipGAN was published as a part of the paper titled "Towards Automatic Face-to-Face Translation".
Multi-Content GAN for Few-Shot Font Style Transfer at CVPR 2018
Models and examples built with TensorFlow
TensorFlow Neural Machine Translation Tutorial
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
πΎ A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
Graph Neural Network, PDE evolution, NER, Knowledge Graph, BERT, Directed-VAE