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Deep Neural Network written in Clojure from scratch

A Keras implementation of the "Recurrent Attention Model"

Twin Networks For Sequence Generation ⭐ 7

ICLR 2018 Reproducibility Challenge: Paper - "Twin Networks: Matching the Future for Sequence Generation"

Digit Recognition ⭐ 7

The purpose of this project is to take handwritten digits as input, process the digits, train the neural network algorithm with the processed data, to recognize the pattern and successfully identify the test digits. The popular MNIST dataset is used for the training and testing purposes. The IDE used is MATLAB

Lasagne_mnist ⭐ 7

Convolution Neural Network written in Theano/Lasagne for MNIST

Numpy_cnn ⭐ 7

Implement Neural Network only with Numpy

CapsNeet vs CNN

Neural networks in Ruby & CUDA.

Neural_network_from_scratch ⭐ 7

Neural network/Back Propagation implemented from scratch for MNIST.从零开始实现神经网络和反向传播算法，识别MNIST

Deep_learning_101 ⭐ 6

Introduction to the basic notions that involve the concept of Machine Learning and Deep Learning. Linear Regression, Logistic Regression, Artificial Neural Networks, Deep Neural Networks, Convolutional Neural Networks.

LeNet 5 implementation to be used on MNIST Data

Statistical Robustness ⭐ 6

Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"

Scale Invariant Cnns ⭐ 6

Study the Scale Invariance or Equivariance Convolutional Neural Network

a simple neural network

Convolutional Neural Network on CUDA with Matlab front-end

C++ neural networks with Eigen

Domain Adaptation ⭐ 6

Implementation of a domain adaptation neural networks on the MNIST and SVHN datasets.

Highway Networks Tensorflow ⭐ 6

Implement Highway Networks based on Tensorflow

Tensorflow Startup Tutorials ⭐ 6

It is a start up tutorial for tensorflow.

Mnist Ai Up ⭐ 6

Learning deep learning 😎 and neuroevolution 👾 ⭐

Mnist Nengo ⭐ 6

Basic network(s) for classifying MNIST digits in Nengo

Evolutionary Strategies for Training Neural Networks

Mnist_distilling_john ⭐ 6

reproduce 《Distilling the Knowledge in a Neural Network》

Introduction to Artificial Intelligence(Deep Learning)

Adam Analysis Tensorflow ⭐ 6

This repository analyzes the performance of Adam optimizer while comparing with others.

Mnist Web Sketch ⭐ 6

MNIST web sketch - digit recognition

Arch_uncert ⭐ 6

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

Simple Gans ⭐ 5

Generative Adversarial Nets

Neural Classifier ⭐ 5

My attempt to write classification library based on neural networks.

Real Time Handwritten Digit Recognizer Mnist Ai Cnn ⭐ 5

Deployable App to test different Neural Network architectures for handwritten digit recognition under adverse conditions using CNNs trained on the MNIST dataset

Chainer Spatial Transformer Networks ⭐ 5

A Chainer implementation of Spatial Transformer Networks trained on MNIST

Neural networks library on top of theano

MNIST Sandbox for testing neural network architectures.

Mnist Gan ⭐ 5

Generative Adversarial Networks for the MNIST dataset

A simple and extensible image recognition neural network framework

Evolutionary_neural_network Stop ⭐ 5

Using evolutionary algorithm to search for a great neural network architecture.

Generating distributions of neural networks

Keras Dropblock ⭐ 5

DropBlock:A regularization method for convolutional networks

Deep_learning_manit ⭐ 5

This repo contains the code of Deep Learning Lab taught at NIT Bhopal (Winter 2k21) M.tech.(AI) https://sites.google.com/view/vsemwal/research/hum

Single shot neural network pruning before training the model, based on connection sensitivity

Cudnn Backpropagation ⭐ 5

MNIST digit recognition neural network application implemented using CUDNN.

Sample_pytorch_code ⭐ 5

Sample code for how to use PyTorch for image processing

Capsule Networks ⭐ 5

Simply explain and implement Capsule Networks on MNIST dataset using Pytorch.

Neural Network Framework ⭐ 5

A high-level neural network framework, written in pure Fortran.

Comprehend ⭐ 5

Deep learning research code built on top of TensorFlow, mainly for unsupervised learning.

Snn For Pattern Recognition ⭐ 5

A 3-layer SNN code for performing MNIST handwritten digit recognition using a supervised spike based learning rule

Genetic Keras ⭐ 5

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