This repository contains projects in the field of Deep Learning
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Updated
Apr 7, 2022 - Jupyter Notebook
This repository contains projects in the field of Deep Learning
This project implements an image classification model using Convolutional Neural Networks (CNN) to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes, with 6,000 images per class. The classes include airplanes, automobiles, birds, cats, deer, dogs, frogs, horses, and trucks.
A toolkit to augment audios (e.g. noise, reverb, distort, speedup, packet loss, farfield effects).
SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
A simpler way of reading and augmenting image segmentation data into TensorFlow
RAD: Reinforcement Learning with Augmented Data
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
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