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Search results for python mnist

1,012 search results found

Tensorflow Examples ⭐ 43,109

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Data Science Ipython Notebooks ⭐ 25,668

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.

Examples ⭐ 21,341

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Jina ⭐ 19,573

☁️ Build multimodal AI applications with cloud-native stack

Fashion Mnist ⭐ 9,856

A MNIST-like fashion product database. Benchmark 👇

Keras Gan ⭐ 8,842

Keras implementations of Generative Adversarial Networks.

Capsnet Tensorflow ⭐ 3,678

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

Tensorflow Generative Model Collections ⭐ 3,570

Collection of generative models in Tensorflow

Deep Learning Keras Tensorflow ⭐ 2,863

Introduction to Deep Neural Networks with Keras and Tensorflow

[CVPR2020] Adversarial Latent Autoencoders

Lingvo ⭐ 2,776

Pytorch Playground ⭐ 2,366

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Alibi ⭐ 2,257

Algorithms for explaining machine learning models

Pytorch Generative Model Collections ⭐ 1,985

Collection of generative models in Pytorch version.

Ml Class ⭐ 1,754

Machine learning lessons and teaching projects designed for engineers

Tsne Cuda ⭐ 1,610

GPU Accelerated t-SNE for CUDA with Python bindings

Advanced Deep Learning With Keras ⭐ 1,534

Advanced Deep Learning with Keras, published by Packt

Ipynb_playground ⭐ 1,530

Various ipython notebooks

Capsule Networks ⭐ 1,419

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Wgan Gp ⭐ 1,412

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Awesome Tensorflow Chinese ⭐ 1,249

Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861

Tensorflow 101 ⭐ 1,100

learn code with tensorflow

Keract ⭐ 1,030

Layers Outputs and Gradients in Keras. Made easy.

Medmnist ⭐ 903

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Federated Learning Pytorch ⭐ 902

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Pytorch Deform Conv ⭐ 866

PyTorch implementation of Deformable Convolution

Descriptive Deep Learning

Ganomaly ⭐ 767

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Random Erasing ⭐ 697

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Ufldl_tutorial ⭐ 680

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

Pytorch Vqvae ⭐ 679

Vector Quantized VAEs - PyTorch Implementation

Disentangling Vae ⭐ 668

Experiments for understanding disentanglement in VAE latent representations

Science_rcn ⭐ 664

Reference implementation of a two-level RCN model

Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji

Pytorch Wgan ⭐ 617

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

Deep learning with spiking neural networks (SNNs) in PyTorch.

Deep Svdd Pytorch ⭐ 538

A PyTorch implementation of the Deep SVDD anomaly detection method

Free Spoken Digit Dataset ⭐ 518

A free audio dataset of spoken digits. Think MNIST for audio.

Neural Network Genetic Algorithm ⭐ 516

Evolving a neural network with a genetic algorithm.

Vae Cvae Mnist ⭐ 508

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Dive Into Cv Pytorch ⭐ 504

动手学CV-Pytorch版

TensorFlow Implementation of "DRAW: A Recurrent Neural Network For Image Generation"

Densenet Tensorflow ⭐ 471

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

Cycada_release ⭐ 470

Code to accompany ICML 2018 paper

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

Dec Keras ⭐ 456

Keras implementation for Deep Embedding Clustering (DEC)

Early Stopping Pytorch ⭐ 428

Early stopping for PyTorch

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

Tensorflow Mnist Vae ⭐ 379

Tensorflow implementation of variational auto-encoder for MNIST

Recurrent Visual Attention ⭐ 367

A PyTorch Implementation of "Recurrent Models of Visual Attention"

Torchnca ⭐ 366

A PyTorch implementation of Neighbourhood Components Analysis.

Dl Project Template ⭐ 361

深度学习工程模板

Tensorflow Tutorial Samples ⭐ 356

TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例

Capslayer ⭐ 354

CapsLayer: An advanced library for capsule theory

Adversarial Examples Pytorch ⭐ 353

Implementation of Papers on Adversarial Examples

Vae_tutorial ⭐ 348

Caffe code to accompany my Tutorial on Variational Autoencoders

Mnist Svhn Transfer ⭐ 345

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

Deepxplore ⭐ 344

DeepXplore code release

Continuum ⭐ 343

A clean and simple data loading library for Continual Learning

Sparse_learning ⭐ 334

Sparse learning library and sparse momentum resources.

Tensorflow Tutorials Chinese ⭐ 317

TensorFlow 中文教程 (Chinese Tutorials)

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

Fast Pytorch ⭐ 299

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Dann_py3 ⭐ 298

python 3 pytorch implementation of DANN

Triplet Network Pytorch ⭐ 277

Pt.darts ⭐ 274

PyTorch Implementation of DARTS: Differentiable Architecture Search

Theano Lights ⭐ 269

Deep learning research framework based on Theano

Tensorflow Ml Exercises ⭐ 254

Learning Machine Learning with TensorFlow

Mnist_center_loss_pytorch ⭐ 254

A PyTorch implementation of center loss on MNIST

Nnpulearning ⭐ 253

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

Adversarial Continual Learning ⭐ 243

Implementation for the paper "Adversarial Continual Learning" in PyTorch.

Pytorch_misc ⭐ 241

Code snippets created for the PyTorch discussion board

Create Ml App ⭐ 239

Template Makefile for ML projects in Python.

Minimalist implementation of VQ-VAE in Pytorch

Pytorch Classification Uncertainty ⭐ 235

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Siamese_tf_mnist ⭐ 232

Implementing Siamese Network using Tensorflow with MNIST

Cnn From Scratch ⭐ 229

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

The QMNIST dataset

Adversarial Autoencoder ⭐ 225

Chainer implementation of adversarial autoencoder (AAE)

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

Tensorflow_demo ⭐ 221

Tensorflow Demo for my TF in 5 Min Video on Youtube

Stdp Mnist ⭐ 215

Detection by Attack: Detecting Adversarial Samples by Undercover Attack

Tensorflow Adversarial ⭐ 204

Crafting adversarial images

Minetorch ⭐ 198

Build deep learning applications in a new and easy way.

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

Easy Neural Ode ⭐ 186

Code for the paper "Learning Differential Equations that are Easy to Solve"

Svm_mnist_digit_classification ⭐ 185

MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.

code for "Adversarial Feature Learning"

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

Tensorflow Mnist Cnn ⭐ 171

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Tf Faster Rcnn ⭐ 164

TensorFlow implementation of Faster R-CNN

Tensorflow_input_image_by_tfrecord ⭐ 161

Feed your own image data to a pre-trained network by tensorflow

Twostagevae ⭐ 160

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

Learning to Compose Domain-Specific Transformations for Data Augmentation

Capsule Net Pytorch ⭐ 157

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

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