SouBanerjee

3D-computer-vision-resources

Here is a list of 3D vision resources

ACA-Summer-School-IITK-CSE-DLCV

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Billion-scale-semi-supervised-learning

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

ModelZoo

neon model zoo

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

SouBanerjee/ACA-Summer-School-IITK-CSE-DLCV

SouBanerjee/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

SouBanerjee/brain-inspired-replay

A brain-inspired version of generative replay for continual learning with deep neural networks (class-incremental learning on CIFAR-100; PyTorch code).

SouBanerjee/BSS_distillation

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

SouBanerjee/Continual-Learning-Benchmark

Evaluate three types of task shifting with popular continual learning algorithms.

SouBanerjee/DiscriminativeActiveLearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

SouBanerjee/DSBN

Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"

SouBanerjee/EWC-

OnlineEWC and EWC++ implementations, the online versions of Elastic weight consolidation

SouBanerjee/iCaRL

SouBanerjee/interview

Everything you need to prepare for your technical interview

SouBanerjee/JEM

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

SouBanerjee/KegNet

Knowledge Extraction with No Observable Data (NeurIPS 2019)

SouBanerjee/l0-arm

Code for L0-ARM: Network Sparsification via Stochastic Binary Optimization

SouBanerjee/machine-learning-dgm

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

SouBanerjee/Machine-Learning-for-Imbalanced-Data

Machine Learning for Imbalanced Data, published by Packt

SouBanerjee/models

Models and examples built with TensorFlow

SouBanerjee/pmlrg

SouBanerjee/Pytorch-Adversarial-Training-CIFAR

This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.

SouBanerjee/satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

SouBanerjee/SDC-IL

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

SouBanerjee/Selfless-Sequential-Learning

SouBanerjee/SFDA

SouBanerjee/SiT

Self-supervised vIsion Transformer (SiT)

SouBanerjee/slideshare-to-pdf

A command line python script to help you back up your SlideShare presentations to PDF. — http://grub.cballenar.me/

SouBanerjee/SouBanerjee.github.io

SouBanerjee/SRAAL

State-Relabeling Adversarial Active Learning

SouBanerjee/TA-VAAL

Source code for Task-Aware Variational Adversarial Active Learning

SouBanerjee/tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

SouBanerjee/vCLIMB_Benchmark

SouBanerjee/website