Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

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python pytorch gan generative-adversarial-network mnist dcgan celeba

Medmnist

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

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jupyter-notebook dataset benchmark automl mnist medical

Mnist Android Tensorflow

Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!

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java android tensorflow tutorial x86 tensorflow-tutorials mnist

Pytorch Mnist Celeba Cgan Cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

✭ 290

python pytorch generative-adversarial-network mnist celeba

Deep Learning From Scratch

Six snippets of code that made deep learning what it is today.

✭ 255

jupyter-notebook deep-learning mnist linear-regression gradient-descent backpropagation

Cifar-Autoencoder

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

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python neural-network mnist convolutional-layers autoencoder convolutional-neural-networks hidden-layers cifar10 reconstructed-images strided-convolutions convolutional-autoencoders

minetorch

Build deep learning applications in a new and easy way.

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python tools pytorch mnist digits tensorboard ignite pytorch-visualization torchpack

MNIST-invert-color

Invert the color of MNIST images with PyTorch

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python color cnn pytorch generative-adversarial-network gan mnist image-generation convolutional-neural-networks generative-adversarial-networks cycle-gan invert

WhiteBox-Part1

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

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Jupyter Notebook machine-learning computer-vision deep-learning grad-cam mnist gradients backpropagation blackbox saliency-map cifar-10 smoothgrad guided-backpropagation interpretable-ai explainable-ai integrated-gradients evaluate-models

Spatial-Transformer-Networks-with-Keras

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

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Jupyter Notebook tensorflow keras cnn vision mnist spatial-transformer-network affine-transformation

PFL-Non-IID

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…

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python shell nlp platform machine-learning privacy simulation cv distributed-computing cnn pytorch personalization mnist rnn cifar10 differential-privacy cifar100 heterogeneity federated-learning fmnist non-iid

keras-triplet-center-loss

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

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python machine-learning tensorflow keras mnist triplet-loss center-loss

minimal wgan

A minimal implementation of Wasserstein GAN

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python tensorflow mnist wgan

MNIST-Keras

Using various CNN techniques on the MNIST dataset

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Jupyter Notebook keras mnist convolutional-neural-networks keras-visualization

mnist test

mnist with Tensorflow

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python javascript HTML deep-learning mnist tensroflow

ELM-pytorch

Extreme Learning Machine implemented in Pytorch

✭ 68

python gpu cnn pytorch mnist convolutional-neural-networks extreme-learning-machine convolutional-elm elm-lrf

CNN Own Dataset

CNN example for training your own datasets.

✭ 25

python tutorial tutorials cnn dataset mnist easy-to-use easy convolutional-neural-networks for-fun

haskell-vae

Learning about Haskell with Variational Autoencoders

✭ 18

haskell python deep-learning neural-network functional-programming mnist dogs facial-recognition autoencoder variational-inference variational-autoencoder adam-optimizer hmatrix facial-landmarks

Python-TensorFlow-WebApp

Emerging Technologies Project - 4th Year 2017

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python HTML javascript CSS flask machine-learning neural-network tensorflow numpy machine-learning-algorithms webapp mnist digits-recognition recognising-digits

VAE-Gumbel-Softmax

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

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python tensorflow mnist vae deeplearning variational-autoencoder gumbel-softmax

MNIST-multitask

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

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python deep-learning mnist transfer-learning multi-task-learning fashion-mnist iclr2018

mnist-challenge

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

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Jupyter Notebook python machine-learning deep-neural-networks kernel deep-learning neural-network mnist pca logistic-regression rbm gaussian-processes data-augmentation k-nn

rust-simple-nn

Simple neural network implementation in Rust

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rust Makefile mnist neural-networks

wechat digit recognition

微信公众号数字识别

✭ 84

HTML Jupyter Notebook python opencv jupyter-notebook mnist

chainer-ADDA

Adversarial Discriminative Domain Adaptation in Chainer

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python chainer mnist svhn adversarial adda domain-adaptation chainer-adda

Open-Set-Recognition

Open Set Recognition

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python shell pytorch mnist imagenet cifar openmax open-set openset center-loss open-set-recognition oltr openset-classification openset-recognition

AdaBound-tensorflow

An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

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python tensorflow optimizer mnist adabound

tensorflow-mnist-convnets

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

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python tensorflow mnist neural-networks convolutional-neural-networks tensorflow-mnist-train

mnist-flask

A Flask web app for handwritten digit recognition using machine learning

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python HTML javascript CSS flask neural-network tensorflow keras mnist

deeplearning-mpo

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

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python tensorflow mnist densenet mpo cifar10 lenet5 resnets

keras gpyopt

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

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Jupyter Notebook python tensorflow keras mnist bayesian-optimization gpyopt keras-gpyopt

digitrecognition ios

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

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objective c deep-learning tensorflow keras iphone mnist convolutional-neural-networks coreml

SimpNet-Tensorflow

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

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python neural-network tensorflow cnn mnist convolutional-neural-network nih chest-x-ray

crohme-data-extractor

A modified extractor for the CROHME handwritten math symbols dataset.

✭ 18

python extractor extract dataset mnist math-symbols handwritten-numeral-recognition handwritten-digit-recognition handwritten-text-recognition crohme

cuda-neural-network

Convolutional Neural Network with CUDA (MNIST 99.23%)

✭ 118

C++python Cuda shell CMake M4 neural-network cuda cnn mnist

gan-vae-pretrained-pytorch

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

catseye

Neural network library written in C and Javascript

✭ 29

Roff c PostScript python javascript Makefile deep-learning neural-network cnn dnn gan mnist gpgpu autoencoder perceptron cifar recognizing-handwritten-digits

numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

✭ 49

python neural-network numpy cnn dropout mnist sgd regularization deeplearning xavier-initializer relu cross-entropy-loss numpy-neuralnet-exercise

MNIST-TFLite

MNIST classifier built for TensorFlow Lite - Android, iOS and other "lite" platforms

✭ 34

Jupyter Notebook java android machine-learning tensorflow jupyter-notebook mnist

PaperSynth

Handwritten text to synths!

✭ 18

javascript objective c swift Jupyter Notebook c C++music audiokit mnist handwriting-recognition sound-design chars74k

image-defect-detection-based-on-CNN

TensorBasicModel

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python tensorflow cnn mnist cifar10

MNIST-adversarial-images

Create adversarial images to fool a MNIST classifier in TensorFlow

✭ 13

Jupyter Notebook deep-learning tensorflow mnist adversarial 500px

gradient-boosted-decision-tree

GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装

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python javascript Vue mnist gbdt boosted-trees

MNIST

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

✭ 28

PHP machine-learning tutorial deep-neural-networks computer-vision deep-learning neural-network pipeline cross-validation mnist mnist-dataset image-classification image-recognition php-ml mnist-handwriting-recognition php-ai machine-learning-tutorial rubix-ml php-machine-learning

playing with vae

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

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Jupyter Notebook python tutorial pytorch mnist pca beginner embedding umap variational-autoencoder fashion-mnist

digdet

A realtime digit OCR on the browser using Machine Learning

✭ 22

Jupyter Notebook python CSS javascript HTML Makefile machine-learning ocr deep-learning keras mnist neural-networks

fast-tsetlin-machine-with-mnist-demo

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

✭ 58

c Makefile machine-learning artificial-intelligence mnist pattern-recognition bitwise-operators frequent-pattern-mining rule-based explainable-ai tsetlin-machine

LeNet-from-Scratch

Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.

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Jupyter Notebook python deep-learning mnist lenet

BP-Network

Multi-Classification on dataset of MNIST

✭ 72

python mnist source-code multi-classification

cDCGAN

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

✭ 49

python pytorch gan mnist dcgan generative-adversarial-networks celeba conditional-gan cdcgan

DCGAN-Pytorch

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

✭ 23

python shell pytorch generative-adversarial-network gan mnist dcgan celeba

cluttered-mnist

Experiments on cluttered mnist dataset with Tensorflow.

✭ 20

HTML Jupyter Notebook python udacity deep-neural-networks deep-learning tensorflow mnist convolutional-neural-networks spatial-transformer-network nyu

tensorflow-mnist-MLP-batch normalization-weight initializers

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

✭ 49

python tensorflow mnist batch-normalization mnist-classification xavier weight-initializers he-initializer xavier-initializer he

Pytorch-PCGrad

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

✭ 179

python reinforcement-learning deep-learning deep-reinforcement-learning pytorch mnist rl reimplementation multi-task-learning cifar-100 multi-task-reinforcement-learning multi-task-rl pytorch-pcgrad gradient-surgery mulit-mnist

61-120 of 137 mnist projects

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