Homework for the advanced neural networks course
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Updated
Jan 23, 2019 - Python
Homework for the advanced neural networks course
A mobilenet-like CNN for CIFAR dataset using Pytorch-ignite
A Multivariate Gaussian Bayes classifier written using JAX
This repository contains Classification using a CNN model with 3 layers of Autoencoders
This repository includes official implementation and model weights of Data-Efficient Multi-Scale Fusion Vision Transformer.
Home of various optimization algorithms.
Scripts to practice the basics of TF and Keras while building networks for image classification (CIFAR, MNIST).
Deep CNN models ResNet34 and VGG16 have been trained and tested for image classification task using MNIST and CIFAR dataset (part of mini-project from the Deep learning and computer vision module)
Code for the attack multiplicative filter attack MUFIA, from the paper "Frequency-based vulnerability analysis of deep learning models against image corruptions".
Pytorch code for DINO with ConViT Backbone( Improving Vision Transformers with Soft Convolutional Inductive Biases) ICML2021
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