drimpossible

GDumb

Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures.

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 "

BudgetCL

Code for CVPR paper: Computationally Budgeted Continual Learning: What Does Matter?

Sampling-Bias-Active-Learning

Code for the paper "Sampling Bias in Deep Active Classification: An Empirical Study"

ACM

Codebase for adaptive continual memory

corrective-unlearning-bench

EvalOCL

Linux-Installation-Scripts

These are the files I installed while installing Linux

drimpossible.github.io

My academic website

Resume

icrawler

A multi-thread crawler framework with many builtin image crawlers provided.

RanDumb

aisc

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

fakerecog

Code for our submission to the deepfake detection challenge

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

KNN

KNN Utilies

MS-Thesis

My MS Thesis Source Code

My-stuff

short-scripts

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels (ECCV 2020)

utils.pytorch

Adapted from eladhoffer's utils.pytorch