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Chandan Gautam's Projects

ae-1svm icon ae-1svm

Source code of Paper: Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features

alocc-cvpr2018 icon alocc-cvpr2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

anogan icon anogan

Tensorflow Implementation of AnoGAN (Anomaly GAN)

anomaly_detection icon anomaly_detection

This repository contains all the codes related to the project 'Anomaly Detection in Surveillance Videos'. Codes related to model training, testing, summarization are present along with documentation. The project also uses an analysis method known as Grad-CAM which highlights regions of input, which played a role in the decision making of the model.

awesome-conformal-prediction icon awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

aws-cv-task2vec icon aws-cv-task2vec

Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)

brain-inspired-replay icon 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).

cifdm icon cifdm

Continual Multi-label Learning

clear-osoc icon clear-osoc

CLEAR: Cumulative LEARning for one-shot one-class image recognition

coca icon coca

Deep Contrastive One-Class Time Series Anomaly Detection

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

cosda-hr icon cosda-hr

A dataset for Continual Open Set Domain Adaptation

cumix icon cumix

Official code for "Towards Recognizing Unseen Categories in Unseen Domains"

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