Top 137 mnist open source projects

Gordon cnn
A small convolution neural network deep learning framework implemented in c++.
Vae Cvae Mnist
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Gan Tutorial
Simple Implementation of many GAN models with PyTorch.
Tf Vqvae
Tensorflow Implementation of the paper [Neural Discrete Representation Learning]( (VQ-VAE).
Vq Vae
Minimalist implementation of VQ-VAE in Pytorch
Cnn From Scratch
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Pratik Derin Ogrenme Uygulamalari
Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
Tflite Mnist Android
MNIST with TensorFlow Lite on Android
Gan Mnist
Generative Adversarial Network for MNIST with tensorflow
Tensorflow Mnist Cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Tensorflow Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Tensorflow Mnist Gan Dcgan
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Tensorflow Mnist Cvae
Tensorflow implementation of conditional variational auto-encoder for MNIST
Mnist draw
This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.
Generative adversarial networks 101
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Capsule Networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Tensorflow Mnist Cgan Cdcgan
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Ti Pooling
TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
Tf Exercise Gan
Tensorflow implementation of different GANs and their comparisions
Mnist Classification
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Keras Cloud Ml Engine
Adventures using keras on Google's Cloud ML Engine
Machine Learning Toolkit for Extreme Scale (MaTEx)
Generative Models
Comparison of Generative Models in Tensorflow
A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Ios Coreml Mnist
Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -
Keras Mnist Center Loss With Visualization
An implementation for mnist center loss training and visualization
Tsne Cuda
GPU Accelerated t-SNE for CUDA with Python bindings
Pytorch Classification Uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
Svhn Cnn
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Deep Generative Models
Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)
Randwire tensorflow
tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
Layers Outputs and Gradients in Keras. Made easy.
Mnist Ewc
Implementation of ews weight constraint mentioned in recent Deep Mind paper:
Theano Xnor Net
Theano implementation of XNOR-Net
AoE (AI on Edge,终端智能,边缘计算) 是一个终端侧AI集成运行时环境 (IRE),帮助开发者提升效率。
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
Capsnet Pytorch
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
Tensorflow Mnist Vae
Tensorflow implementation of variational auto-encoder for MNIST
1-60 of 137 mnist projects