prathyusha-akundi Goto Github PK

adversarial-continual-learning

Implementation for the paper "Adversarial Continual Learning" in PyTorch.

angular2-essential-training

The repository for the project code for my course Angular Essential Training

bayesian_cnn_continuallearning

Interpreting Bayesian inference as continual learning with a CNN

bayesiandefense

Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

bikesharing_project

botbuilder

The Microsoft Bot Builder SDK is one of three main components of the Microsoft Bot Framework. The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/SMS to Skype, Slack, Office 365 mail and other popular services.

botbuilder-samples

Welcome to the BotBuilder samples repository. Here you will find task-focused samples in C# and Node.js to help you get started with the Bot Builder SDK!

brain-inspired-replay

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

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

ce-net

The manuscript has been accepted in TMI.

cesi

WWW 2018 paper: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

clsurvey

Continual learning of neural networks with 11 state-of-the-art methods and 4 baselines. Codebase of the continual learning survey: "A continual learning survey: Defying forgetting in classification tasks." arXiv preprint arXiv:1909.08383 (2019)."

cms-medicare-data-fraud-detection

CMS Medicare Fraud Detection

cms_hospital_rating

PGDDS Capstone Project

continual-learning-benchmark

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

covid19-dl

create-your-own-adventure

cross-domain-detection

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

cs340

Project for Data Mining course

dagmm

A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.

datasource

deep-learning-specialization

deeplearning-segan-segmentation

This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf

dextr-pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

dnc

Differentiable neural computer experiments

dnc-numpy

Differentiable Neural Computer - A Pure NumPy Implementation

dog_breed_classification

dvc-repo

dvc_basics_tutorial

endtoendincrementallearning

End-to-End Incremental Learning