Stars
Convolutional neural networks for artistic style transfer.
One-shot Learning with Memory-Augmented Neural Networks
Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling".
LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
Implementing Recurrent Neural Network from Scratch
Flax is a neural network library for JAX that is designed for flexibility.
This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube
Quantization of Convolutional Neural networks.
Coherence + Recurrent Neural Network + Convolutional Neural Network
Papers and Codes for the deep learning in hyperbolic space
Neural Networks that invent their own encryption 🔑
This is a configurable Neural Network written in C#. The Network functionality is completely decoupled from the UI and can be ported to any project. You can also export and import fully trained net…
Active Learning on Image Data using Bayesian ConvNets
A collection of tools for reverse engineering neural networks.
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
Multi-view Face Detection Using Deep Convolutional Neural Networks
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Keras package for region-based convolutional neural networks (RCNNs)
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Framework for building complex recurrent neural networks with Keras
Code for our paper "Hamiltonian Neural Networks"
Build your neural network easy and fast, 莫烦Python中文教学
An Industrial Graph Neural Network Framework
用Tensorflow实现的深度神经网络。
This repository contains the source for Artificial Neural Networks Lab IIITH