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The Top 465 Python Mnist Open Source Projects on Github

Fashion Mnist ⭐ 9,039
A MNIST-like fashion product database. Benchmark 👇
Tensorflow Generative Model Collections ⭐ 3,570
Collection of generative models in Tensorflow
Lingvo ⭐ 2,373
Lingvo
Pytorch Generative Model Collections ⭐ 1,985
Collection of generative models in Pytorch version.
Capsule Networks ⭐ 1,419
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
Tsne Cuda ⭐ 1,292
GPU Accelerated t-SNE for CUDA with Python bindings
Keract ⭐ 955
Layers Outputs and Gradients in Keras. Made easy.
Medmnist ⭐ 530
pip install medmnist: 18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification
Free Spoken Digit Dataset ⭐ 450
A free audio dataset of spoken digits. Think MNIST for audio.
Early Stopping Pytorch ⭐ 428
Early stopping for PyTorch
Rgan ⭐ 413
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
Capsnet Pytorch ⭐ 409
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
Disentangling Vae ⭐ 407
Experiments for understanding disentanglement in VAE latent representations
Tensorflow Mnist Vae ⭐ 379
Tensorflow implementation of variational auto-encoder for MNIST
Tensorflow Tutorial Samples ⭐ 356
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
Mnist Svhn Transfer ⭐ 345
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
Pytorch Mnist Celeba Gan Dcgan ⭐ 302
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Vq Vae ⭐ 238
Minimalist implementation of VQ-VAE in Pytorch
Pytorch Mnist Celeba Cgan Cdcgan ⭐ 221
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Gan Mnist ⭐ 192
Generative Adversarial Network for MNIST with tensorflow
Cnn From Scratch ⭐ 185
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Vae Cvae Mnist ⭐ 184
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Tensorflow Mnist Cnn ⭐ 171
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Nnpulearning ⭐ 156
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Tensorflow Mnist Gan Dcgan ⭐ 149
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Tensorflow Infogan ⭐ 148
🎎 InfoGAN: Interpretable Representation Learning
Pytorch Distributed Example ⭐ 145
Tensorflow Mnist Cvae ⭐ 134
Tensorflow implementation of conditional variational auto-encoder for MNIST
Ti Pooling ⭐ 117
TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
Lsoftmax Pytorch ⭐ 110
The Pytorch Implementation of L-Softmax
Tf Exercise Gan ⭐ 109
Tensorflow implementation of different GANs and their comparisions
Keras Cloud Ml Engine ⭐ 106
Adventures using keras on Google's Cloud ML Engine
Gpnd ⭐ 106
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Tensorflow Mnist Cgan Cdcgan ⭐ 106
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Dni.pytorch ⭐ 102
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
Pytorch Classification Uncertainty ⭐ 97
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Generative Models ⭐ 92
Comparison of Generative Models in Tensorflow
Mnist Classification ⭐ 79
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）
Emnist ⭐ 73
A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Tensorflow_in_ros ⭐ 73
Tensorflow tutorial in ROS
Gan Vae Pretrained Pytorch ⭐ 73
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Efficientnet Pytorch ⭐ 72
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
Bp Network ⭐ 71
Multi-Classification on dataset of MNIST
Capsnet_tensorflow ⭐ 70
Label Embedding Network ⭐ 68
Label Embedding Network
Ml_code ⭐ 66
A repository for recording the machine learning code
Essence ⭐ 66
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
Tensorflow Mnist Aae ⭐ 65
Tensorflow implementation of adversarial auto-encoder for MNIST
Mnist Challenge ⭐ 64
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Gans 2.0 ⭐ 60
Generative Adversarial Networks in TensorFlow 2.0
Mnist Coreml ⭐ 60
Predict handwritten digits with CoreML
Vae Gumbel Softmax ⭐ 60
An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.
Keras Mnist Center Loss With Visualization ⭐ 59
An implementation for mnist center loss training and visualization
Multidigitmnist ⭐ 54
Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
Nvidia Docker Keras ⭐ 54
Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs
Pytorch Pcgrad ⭐ 53
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Keras_gpyopt ⭐ 51
Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
Visualizingndf ⭐ 51
Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI
Mnist Deep Learning ⭐ 50
Deep Learning codes for MNIST with detailed explanation
Resnest Tf2 ⭐ 50
TensorFlow implementation of "ResNeSt: Split-Attention Networks"
Y Ae ⭐ 48
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding"
Tensorflow Mnist Mlp Batch_normalization Weight_initializers ⭐ 46
MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
Handwritten_digit_recognition ⭐ 46
Handwritten digit recognition with MNIST & Keras
Deep Residual Networks Pyfunt ⭐ 45
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).
Ml In Tf ⭐ 45
Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Pfl Non Iid ⭐ 44
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.
Minimal_wgan ⭐ 44
A minimal implementation of Wasserstein GAN
Capsgan ⭐ 43
Unsupervised representation learning with CapsNet based Generative Adversarial Networks
Numpy Neuralnet Exercise ⭐ 42
Implementation of key concepts of neuralnetwork via numpy
Lenet5 Mnist Pytorch ⭐ 42
The simplest implementation of LeNet5 with mnist in PyTorch. Accuracy: ~99%
Gradient Boosted Decision Tree ⭐ 41
GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装
Adabound Tensorflow ⭐ 40
An optimizer that trains as fast as Adam and as good as SGD in Tensorflow
Mnist For Numpy ⭐ 39
A simple, easy to use MNIST loader written in Python 3
Kaggle For Fun ⭐ 38
All my submissions for Kaggle contests that I have been, and going to be participating.
Elm Pytorch ⭐ 37
Extreme Learning Machine implemented in Pytorch
Dcgan ⭐ 37
PyTorch implementation of DCGAN
What Digit You Write ⭐ 34
🎰Handwritten digit recognition application implemented by TensorFlow2 + Keras and Flask.
Progressive_growing_of_gans Pytorch ⭐ 32
A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)
Gce ⭐ 31
[ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy
Mnist Tflite ⭐ 31
MNIST classifier built for TensorFlow Lite - Android, iOS and other "lite" platforms
Neural Network From Scratch ⭐ 29
Implementation of a neural network from scratch in python.
Mnist_test ⭐ 29
mnist with Tensorflow
Digit_recognizer ⭐ 27
CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).
Bmcnnwhfcs ⭐ 26
The code for "No Routing Needed Between Capsules". This repository contains the code used for the experiments detailed in a forthcoming paper. The paper is available pre-published at arXiv: http://arxiv.org/abs/2001.09136
Open Set Recognition ⭐ 26
Open Set Recognition
Mnist Multitask ⭐ 26
6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
Tensorflow Cdcgan ⭐ 25
A short Conditional DCGAN tensorflow implementation.
Cnn_own_dataset ⭐ 25
CNN example for training your own datasets.
Deep Learning Book ⭐ 25
Код примеров из книги "Глубокое обучение. Погружение в мир нейронных сетей"
Cnn Compression Performance ⭐ 24
A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks
Theano Xnor Net ⭐ 23
Theano implementation of XNOR-Net
Dcgan Pytorch ⭐ 23
A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
Tensorflow Deep Learning ⭐ 23
Tensorflow Examples
Cdcgan ⭐ 23
PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
Tensorflow Example ⭐ 21
Tensorflow-example：使用MNIST训练模型，并识别手写数字图片
Chainer Adda ⭐ 20
Adversarial Discriminative Domain Adaptation in Chainer
Mnist Flask ⭐ 20
A Flask web app for handwritten digit recognition using machine learning
Capsnet Tensorflow ⭐ 19
CapsuleNet Tensorflow
Tensorflow Mnist Convnets ⭐ 19
Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures
Cornn ⭐ 18
Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
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