State of the Art of Music Generation with Deep Learning and AI
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Updated
Mar 16, 2023
State of the Art of Music Generation with Deep Learning and AI
This repository is the implementation of several famous convolution neural network architecture with Keras. (Resnet v1, Resnet v2, Inception v1/GoogLeNet, Inception v2, Inception v3))
[arXiv'18] Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
AAAI 2021. Neural Sequence-to-grid Module for Learning Symbolic Rules
Step by Step Math Behind Multilayer Perceptron Neural Networks Backpropagation with Manual Code Python and Excel For Detecting Potential Obesity
Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Deep Learning Algorithms implemented from scratch using Numpy
Contains the architecture of neural network in python (without using any framework)
Major Neural Network Architectures - recurrent neural networks, convolutional neural networks, long-short-term-memory, autoencoders, recommender systems, artificial general intelligence
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
An exploration of neural network architecture using regression in R.
A toolkit for training CNN-1DRNN-CTC model to perform line-level Handwritten Text Recognition
Tasks for Architecture of Neural Networks Course @ ITMO University
TorchArc: Build PyTorch networks by specifying architectures.
Tasks for Architecture of Neural Networks Course at ITMO University
Neural Network Prototyping library with reactive interface and export code features
Master's project: Using Machine Learning for Potential Energy Landscapes
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