Awesome Open Source
Awesome Open Source
Combined Topics
mnist x
Advertising 📦 9
All Projects
Application Programming Interfaces 📦 120
Applications 📦 181
Artificial Intelligence 📦 72
Blockchain 📦 70
Build Tools 📦 111
Cloud Computing 📦 79
Code Quality 📦 28
Collaboration 📦 30
Command Line Interface 📦 48
Community 📦 81
Companies 📦 60
Compilers 📦 60
Computer Science 📦 74
Configuration Management 📦 39
Content Management 📦 167
Control Flow 📦 197
Data Formats 📦 77
Data Processing 📦 266
Data Storage 📦 132
Economics 📦 60
Frameworks 📦 198
Games 📦 122
Graphics 📦 103
Hardware 📦 148
Integrated Development Environments 📦 47
Learning Resources 📦 147
Legal 📦 28
Libraries 📦 119
Lists Of Projects 📦 21
Machine Learning 📦 336
Mapping 📦 61
Marketing 📦 15
Mathematics 📦 55
Media 📦 228
Messaging 📦 97
Networking 📦 304
Operating Systems 📦 84
Operations 📦 120
Package Managers 📦 52
Programming Languages 📦 229
Runtime Environments 📦 96
Science 📦 42
Security 📦 375
Social Media 📦 26
Software Architecture 📦 70
Software Development 📦 68
Software Performance 📦 57
Software Quality 📦 127
Text Editors 📦 45
Text Processing 📦 131
User Interface 📦 310
User Interface Components 📦 465
Version Control 📦 29
Virtualization 📦 68
Web Browsers 📦 38
Web Servers 📦 25
Web User Interface 📦 194

The Top 833 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 ⭐ 2,359
Lingvo
Tensorflow Tutorials ⭐ 2,068
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
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 ⭐ 1,198
GPU Accelerated t-SNE for CUDA with Python bindings
Keract ⭐ 902
Layers Outputs and Gradients in Keras. Made easy.
Aoe ⭐ 697
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。
Medmnist ⭐ 497
[v1 (ISBI'21) + v2] MedMNIST: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification
Free Spoken Digit Dataset ⭐ 450
A free audio dataset of spoken digits. Think MNIST for audio.
Androidtensorflowmnistexample ⭐ 441
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
Early Stopping Pytorch ⭐ 428
Early stopping for PyTorch
Capsnet ⭐ 422
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
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)
Mnist Android Tensorflow ⭐ 328
Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!
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
Deep Learning From Scratch ⭐ 250
Six snippets of code that made deep learning what it is today.
Vq Vae ⭐ 238
Minimalist implementation of VQ-VAE in Pytorch
Gordon_cnn ⭐ 235
A small convolution neural network deep learning framework implemented in c++.
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
Awesome Tensorlayer ⭐ 212
A curated list of dedicated resources and applications
Tf Vqvae ⭐ 205
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Gan Mnist ⭐ 192
Generative Adversarial Network for MNIST with tensorflow
Gan Tutorial ⭐ 190
Simple Implementation of many GAN models with PyTorch.
Tflite Mnist Android ⭐ 189
MNIST with TensorFlow Lite on Android
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.
Deep Learning Keras Tf Tutorial ⭐ 169
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
Pratik Derin Ogrenme Uygulamalari ⭐ 162
Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
Nnpulearning ⭐ 156
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Generative_adversarial_networks_101 ⭐ 150
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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
Minetorch ⭐ 141
Build deep learning applications in a new and easy way.
Mnist_draw ⭐ 135
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.
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
Matex ⭐ 102
Machine Learning Toolkit for Extreme Scale (MaTEx)
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
Pytorch ⭐ 88
PyTorch tutorials A to Z
Deeplearning ⭐ 80
Deep Learning From Scratch
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）
Wechat_digit_recognition ⭐ 77
微信公众号数字识别
Ios Coreml Mnist ⭐ 74
Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -
Tensorflow_in_ros ⭐ 73
Tensorflow tutorial in ROS
Emnist ⭐ 73
A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
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
Cuda Neural Network ⭐ 67
Convolutional Neural Network with CUDA (MNIST 99.23%)
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.
Ml_code ⭐ 66
A repository for recording the machine learning code
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]
Deepfakecapsulegan ⭐ 62
Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes
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.
How Far Can We Go With Mnist ⭐ 59
A collection of codes for 'how far can we go with MNIST' challenge
Keras Mnist Center Loss With Visualization ⭐ 59
An implementation for mnist center loss training and visualization
Nvidia Docker Keras ⭐ 54
Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs
Multidigitmnist ⭐ 54
Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
Pytorch Pcgrad ⭐ 53
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Fast Tsetlin Machine With Mnist Demo ⭐ 52
A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.
Visualizingndf ⭐ 51
Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI
Keras_gpyopt ⭐ 51
Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
Resnest Tf2 ⭐ 50
TensorFlow implementation of "ResNeSt: Split-Attention Networks"
Mnist Deep Learning ⭐ 50
Deep Learning codes for MNIST with detailed explanation
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!
Minimal_wgan ⭐ 44
A minimal implementation of Wasserstein GAN
Capsgan ⭐ 43
Unsupervised representation learning with CapsNet based Generative Adversarial Networks
Lenet5 Mnist Pytorch ⭐ 42
The simplest implementation of LeNet5 with mnist in PyTorch. Accuracy: ~99%
Numpy Neuralnet Exercise ⭐ 42
Implementation of key concepts of neuralnetwork via numpy
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
Svhn Cnn ⭐ 40
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
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.
Dcgan ⭐ 37
PyTorch implementation of DCGAN
1-100 of 833 projects

Related Projects

Python Mnist Projects (487)
Deep Learning Mnist Projects (269)
Jupyter Notebook Mnist Projects (224)
Tensorflow Mnist Projects (221)
Machine Learning Mnist Projects (206)
Neural Network Mnist Projects (198)
Python Tensorflow Mnist Projects (149)
Pytorch Mnist Projects (144)
Python Deep Learning Mnist Projects (138)
Keras Mnist Projects (135)
Advertising 📦 9
All Projects
Application Programming Interfaces 📦 120
Applications 📦 181
Artificial Intelligence 📦 72
Blockchain 📦 70
Build Tools 📦 111
Cloud Computing 📦 79
Code Quality 📦 28
Collaboration 📦 30
Command Line Interface 📦 48
Community 📦 81
Companies 📦 60
Compilers 📦 60
Computer Science 📦 74
Configuration Management 📦 39
Content Management 📦 167
Control Flow 📦 197
Data Formats 📦 77
Data Processing 📦 266
Data Storage 📦 132
Economics 📦 60
Frameworks 📦 198
Games 📦 122
Graphics 📦 103
Hardware 📦 148
Integrated Development Environments 📦 47
Learning Resources 📦 147
Legal 📦 28
Libraries 📦 119
Lists Of Projects 📦 21
Machine Learning 📦 336
Mapping 📦 61
Marketing 📦 15
Mathematics 📦 55
Media 📦 228
Messaging 📦 97
Networking 📦 304
Operating Systems 📦 84
Operations 📦 120
Package Managers 📦 52
Programming Languages 📦 229
Runtime Environments 📦 96
Science 📦 42
Security 📦 375
Social Media 📦 26
Software Architecture 📦 70
Software Development 📦 68
Software Performance 📦 57
Software Quality 📦 127
Text Editors 📦 45
Text Processing 📦 131
User Interface 📦 310
User Interface Components 📦 465
Version Control 📦 29
Virtualization 📦 68
Web Browsers 📦 38
Web Servers 📦 25
Web User Interface 📦 194
Privacy policy
"GitHub" is a registered trademark of GitHub, Inc. Awesome Open Source is not affiliated with GitHub.

All non readme contents or Github based topics or project metadata copyright Awesome Open Source 2018-2021