Ameya Prabhu's repositories
Deep-Expander-Networks
Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".
Sub-word-LSTM
Codes for the paper "Towards Sub-Word Level Compositions for Sentiment Analysis of Hi-En Code Mixed Text "
Sampling-Bias-Active-Learning
Code for the paper "Sampling Bias in Deep Active Classification: An Empirical Study"
Linux-Installation-Scripts
These are the files I installed while installing Linux
drimpossible.github.io
My academic website
cassle
Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
Awesome-Incremental-Learning
Awesome Incremental Learning
CygnusX1
A multithreaded tool for searching and downloading images from popular search engines. It is straightforward to set up and run!
dataset-cleaner
Notebook with the necessary instructions and code to clean your computer vision dataset
GAN_Compression
GAN Compression Development Repo
GS-Quantify-2016--Team-Category-Killers
Codes written for the GS Quantify 2016 for Hackerrank
imagenet-testbed
ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."
incremental_learning.pytorch
A collection of incremental learning paper implementations.
inverse-scaling-eval-pipeline
Basic pipeline for running different sized GPT models and plotting the results
Unsupervised-Classification
SCAN: Learning to Classify Images without Labels (ECCV 2020)
utils.pytorch
Adapted from eladhoffer's utils.pytorch