Stars
Hands-on Convolutional Neural Networks with Tensorflow, published by Packt
This repository contains a code to implement hybrid quantum classical CNN
Reimplementing the hybrid quantum-classical models from the paper "Quantum machine learning for image classification" by Arsenii Senokosov et al (https://arxiv.org/pdf/2304.09224.pdf)
Implements a trainable quanvolution in PennyLane
Trainable convolution for quantum-classical hybrid algorithms
Classical-Quantum hybrid model for credit card fraud detection
This repository holds scripts to build quantum neural networks with a variety of encoding methods, parametric layer architectures, and measurement operations. Circuits can be generated as PennyLane…
Quantum Machine Learning university project based on pennylane framework
Curated list of awesome papers and resources in quantum machine learning
Does adding quantum features improve the overall performance of a neural network?
Code to benchmark quantum machine learning models
A collection of Jupyter notebooks showing how to use the Qiskit SDK
🤖 | A collection of comprehensive PyTorch tutorials covering fundamental and advanced deep learning concepts
Pytorch implemntation of "Lstm: A search space odyssey" paper
LSTM RNN in PyTorch to generate music inspired by actual composed pieces.
Contains the codebase for Quantum Natural Language Generation project
We implement a quantum-classical hybrid QLSTM model by incorporating quantum variational layers into the classical LSTM in order to improve the efficiency and trainability of LSTM for better stock …
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)
Transformer & CNN Image Captioning model in PyTorch.
image captioning with flikr8k dataset
image captioning trained using COCO dataset in pytorch
Image Captioning using CNN+RNN Encoder-Decoder Architecture in PyTorch