Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

Predict handwritten digits with CoreML

End to End learning for Video Generation from Text

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

Pytorch mnist example

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs

Official adversarial mixup resynthesis repository

TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"

Draw and classify digits (0-9) in a browser using machine learning

Convolutional neural networks with Python 3

Implementation of GANomaly with MNIST dataset

Implementation of MNIST dataset for handwriting recognition.

Attention mechanism with MNIST dataset

Recognize handwritten digits using back-propagation algorithm on MNIST data-set

PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"

TensorFlow implementation of "Selective Kernel Networks"

RNN classifier built with Keras to classify MNIST dataset

This repository is about different types of GANs in pytorch, their proper settings and training results