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143 search results found

Digitrecognition ⭐ 20

Implementation of a digit recognition using my Neural Network with the MNIST data set.

Tensorflow Mnist Convnets ⭐ 19

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

Ss Infogan ⭐ 19

Semi-supervised InfoGAN

Variational_dropout_sparsifies_dnn ⭐ 18

Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer

Tensorflowmnist ⭐ 18

Various neural networks on MNIST data using TensorFlow library

Learning Tensorflow ⭐ 18

Simple Tensorflow tutorials for learning by example

Dnn_from_scratch ⭐ 18

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Simple code tutorial for deep belief network (DBN)

Rust Simple Nn ⭐ 17

Simple neural network implementation in Rust

Haskell Vae ⭐ 17

Learning about Haskell with Variational Autoencoders

Deepnetworks ⭐ 17

My implementations of deep neural networks for practice.

Binary Neural Network Keras ⭐ 17

A Keras code on Binary Neural Networks

A simple, easy-to-use and flexible siamese neural network implementation for Keras

Python Tensorflow Webapp ⭐ 16

Emerging Technologies Project - 4th Year 2017

Simpnet Tensorflow ⭐ 16

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

Mnist Cnn ⭐ 16

Convolutional neural networks with Python 3

Straightforwardneuralnetwork ⭐ 15

A neural network lib in C++20 optimized for CPU. Create, train and use a neural network in less than 10 lines of codes.

Best Mnist Classification Ever Seen Without Any Difficult Tricks ⭐ 15

Classification of MNIST digits by convolutional neural networks and then extracting features. After that I tune the to classes labels using simple neural network The code is written using Keras deep learning library. Got Accuracy: %99.82 error rate 0.18

Progressive Growing Of Gans Pytorch ⭐ 14

Progressively growing of GANs Pytorch Implementation

Tensorbreak ⭐ 13

텐서플로우 뽀개기 - python 코드를 R로 변경하기

Bounding Box Regression Gui ⭐ 13

This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归，边框回归可视化，交并比，非极大值抑制，目标检测。

Cifar Autoencoder ⭐ 13

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

Deep Learning Projects ⭐ 13

Best Deep Learning Projects for Advanced Learners

Toeffipy ⭐ 13

ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.

Bayesianneuralnets ⭐ 13

Bayesian neural networks in PyTorch

Introduction To Neural Networks ⭐ 13

Grokkingdeeplearning ⭐ 13

This repository will contain my take on Andrew Trask's book GrokkingDeepLearning.

Handwritten Digit Recognition ⭐ 13

Handwritten digit recognition using neural network trained on 60000 images from MNIST dataset

Simpleai ⭐ 12

A simple yet powerful C++17 implementation of deep neural networks from scratch.

Handwritten Digit Recognition Mnist ⭐ 12

Handwritten Digit Recognition using Convolutional Neural Networks in Python with Keras on live camera

Ae Review Resources ⭐ 12

Additional resources for an overview on autoencoders

Deep Feedfoward Neural Network ⭐ 11

This project is a simple neural network maden in javascript as known as MLP(Multilayer Perceptron) also.

Neural Networks ⭐ 11

A basic tutorial on Neural Networks

Activationfunctiondemo ⭐ 11

The "Activation Function Demo" is a demo for implementing activation function with the mathod propsed in paper: Design Space Exploration of Neural Network Activation Function Circuits

Mnist Dnn ⭐ 11

Deep neural network for handling MNIST image recognition

Autoencoder ⭐ 11

An autoencoder using a convolutional neural network with Tensorflow

Mnist Digit Recognizer Cnn Keras 99.66 ⭐ 11

Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels on 28000 Test Images with an Validation Accuracy of 99.52% and 99.66% on Kaggle Leaderboard.

M5stack Neural Network ⭐ 11

handwritten digits recognition by M5Stack

Collection of Machine Learning Algorithms

Mnist Machine Learning ⭐ 10

Machine Learning MNIST Digits with a Neural Network in Excel

Deepneuralnetwork ⭐ 10

Deep neural network implemented in Java from scratch, without using library/framework.

Digitclassifier ⭐ 10

A Convolutional Deep Neural Network Using Theano for MNIST (0.6% Error)

Handwritten Digit Recognition ⭐ 10

The project of recognizing handwritten digits found in mnist dataset by the use of Neural Networks(Feedforward Fully Connected)

Fashion Mnist Cnn Keras ⭐ 10

Zalando's article images Recognition using Convolutional Neural Networks in Python with Keras.

Machine.academy ⭐ 10

Neural Network training library in C# with GPU acceleration

Handwritten Digit Recognition ⭐ 10

This project demonstrates Handwritten digit recognition using Deep Learning

Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)

Mnist Tensorflow ⭐ 10

Using Neural Networks to deal with MNIST data

Facedetector ⭐ 10

Face Detection Based on Convolutional Neural Network

C++ Deep Learning Framework

Experimental ML implementations in Go

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Machine Learning Mnist Dataset ⭐ 9

A machine learning project that uses a neural network to recognise human digits.

Interpretable Image Classification ⭐ 9

Interpretability methods applied on image classifiers trained on MNIST and CIFAR10

VAE + Quantile Networks for MNIST

Siamese Network For One Shot Learning ⭐ 9

Project on Training Neural Networks with just one Example.

Tensorflow Getting Started ⭐ 9

Tensorflow Quick Introduction

Deepexperiments ⭐ 9

TensorFlow/Keras experiments on computer vision and natural language processing

Master Project ⭐ 9

Towards Distortion-Predictable Embedding of Neural Networks

Tensorflow Mnist ⭐ 8

A Jupyter notebook for setting up a single layer neural network with TensorFlow on the MNIST dataset

Mnist 3lnn ⭐ 8

Simple 3-layer feed-forward neural network using back-propagation to recognize MNIST digits

Mnist Handwritten Digit Recognition ⭐ 8

Keras Fully Connected Neural Network using Python for Digit Recognition

Adversarial Reprogramming Tensorflow ⭐ 8

TensorFlow implementation of Adversarial Reprogramming of Neural Networks https://arxiv.org/abs/1806.11146

Digit Recognizer ⭐ 8

A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented

A layer-wise algorithm for learning Convolutional Neural Networks

Neuralnetwork ⭐ 8

Small implementation of a neural network in Python

Multiple Gan Tensorflow Mnist ⭐ 8

Implement multiple gan including vanilla_gan, dcgan, cgan, infogan and wgan with tensorflow and dataset including mnist.

Semisupervised Clustering ⭐ 8

PyTorch semi-supervised clustering with Convolutional Autoencoders

Digit Recognition ⭐ 8

Training an ANN and a CNN to recognize handwritten digits using back-propagation algorithm on MNIST data-set

Convolutional neural networks written by C++

Mnist_neural_network ⭐ 8

An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.

Awesome Core Ml ⭐ 8

A collaborative list of Core ML resources. Feel free to contribute!

Dropout Vs Batch Normalization ⭐ 8

Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper

Fashion Mnist Accuracy 93.4 ⭐ 7

Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. I trained Convolutional Neural Networks over the training data and achieved Validation Accuracy of 93% and Test Accuracy 93.4%

Go Neural Network ⭐ 7

Modifiable neural network

🔍 Collection of Optical Character Recognition Solutions

Graduation Design ⭐ 7

基于剪枝的神经网络压缩与加速

Neural Ode ⭐ 7

Neural networks in Ruby & CUDA.

Data Science Ipython Notebooks ⭐ 7

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

Domain Adversarial Neural Network ⭐ 7

Implementation of Domain Adversarial Neural Network in Tensorflow

🐾 Akira is a C library for Neural Networks.

Improved implementation of Tariq Rashid's "Make Your Own Neural Network"

Spp Public ⭐ 7

A Signal Propagation Perspective for Pruning Neural Networks at Initialization

Deep Neural Network written in Clojure from scratch

Smart and distributed hyperparameter/architecture search for Neural nets and more [wip]

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

Numpy_cnn ⭐ 7

Implement Neural Network only with Numpy

Mnist digits multi perceptron neural-network training from scratch with c++ and opencv matrix. (nn with c++)

Kaggle Mnist Solution ⭐ 6

Building conv neural nets using theano and lasagne.

Mnist Web Sketch ⭐ 6

MNIST web sketch - digit recognition

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.

Fashion Mnist Using Ffdl ⭐ 6

Train your Fashion MNIST model with FfDL on Kubernetes with GPU

Pytorch Deep Learning ⭐ 6

GTSRB (Traffic sign), MNIST, CIFAR image classification and other good starting point

C++ neural networks with Eigen

Lipschitzrnn ⭐ 6

Lipschitz Recurrent Neural Networks

Rust Fann Mnist ⭐ 6

MNIST trained in rust using the fann library

B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks

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