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287 search results found

Digitrecognition_ios ⭐ 22

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

Adapted_deep_embeddings ⭐ 22

Code associated with "Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning"

An example of running deep learning network on Raspberry-PI

Real-time augmentation of data for inputs into deep learning models.

Lenet From Scratch ⭐ 22

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

Mnistkit ⭐ 21

The better way to deal with MNIST model and Core ML in iOS

Gan Face Generator ⭐ 21

Generate Faces using GANs (Part of Udacity's DLFND)

Knetlayers.jl ⭐ 20

Useful Layers for Knet

Digit Recognition Mnist Svhn Pytorch Cpp ⭐ 20

Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API

code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"

Imbalanced Classification with Deep Reinforcement Learning

Deep Columnar Convolutional Neural Network ⭐ 19

Deep Columnar Convolutional Neural Network architecture, which is based on Multi Columnar DNN (Ciresan 2012).

Pytorch Examples ⭐ 19

MNIST Clasification with Pytorch

Learning Tensorflow ⭐ 18

Simple Tensorflow tutorials for learning by example

Pytorch Siamese Triplet ⭐ 18

One-Shot Learning with Triplet CNNs in Pytorch

Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)

Dnn_from_scratch ⭐ 18

A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Variational_dropout_sparsifies_dnn ⭐ 18

Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer

Keras_basic ⭐ 18

keras를 이용한 딥러닝 기초 학습

Relative Gradient Jacobian ⭐ 17

Relative gradient optimization of the Jacobian term in unsupervised deep learning.

Deepnetworks ⭐ 17

My implementations of deep neural networks for practice.

Machine Learning Framework

Haskell Vae ⭐ 17

Learning about Haskell with Variational Autoencoders

Simple code tutorial for deep belief network (DBN)

Alphagan ⭐ 17

A PyTorch implementation of alpha-GAN

Cluttered Mnist ⭐ 17

Experiments on cluttered mnist dataset with Tensorflow.

Whitebox Part1 ⭐ 16

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

Codes for "Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method"

Pytorch Mnist Gan ⭐ 15

Deeplearning ⭐ 15

R package for deep learning

Straightforwardneuralnetwork ⭐ 15

A neural network lib in C++20 optimized for CPU. Create, train and use a neural network in less than 10 lines of codes.

Mnist Adversarial Images ⭐ 14

Create adversarial images to fool a MNIST classifier in TensorFlow

Center Loss ⭐ 14

This is an implementation of the Center Loss article (2016).

Videopred ⭐ 14

Common Video Prediction Architectures

Deep Q Learning Adversarial ⭐ 14

VGrow for deep generative learning

Progressive Growing Of Gans Pytorch ⭐ 14

Progressively growing of GANs Pytorch Implementation

Pytorch Mnist Vae ⭐ 14

Image Defect Detection Based On Cnn ⭐ 14

TensorBasicModel

Deep Learning Projects ⭐ 13

Best Deep Learning Projects for Advanced Learners

Grokkingdeeplearning ⭐ 13

This repository will contain my take on Andrew Trask's book GrokkingDeepLearning.

Gold Loss Correction for training neural networks with labels corrupted with severe noise

Deep Learning Course ⭐ 13

Deep Learning with TensorFlow and Keras

Tensorbreak ⭐ 13

텐서플로우 뽀개기 - python 코드를 R로 변경하기

Toeffipy ⭐ 13

ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.

Opensw_camp_2020 ⭐ 13

2020년 공개SW 대학생 체험캠프

Bayesianneuralnets ⭐ 13

Bayesian neural networks in PyTorch

Deepstats ⭐ 12

Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.

Mc Dropout Mnist ⭐ 12

Implementation of MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_baye

Spatiotemporal_variable_separation ⭐ 12

Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*

Introduction_to_deep_learning ⭐ 12

Introduction to Deep Learning with theory and coding examples

Bayesian Sparse Deep Learning ⭐ 12

Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)

Ae Review Resources ⭐ 12

Additional resources for an overview on autoencoders

Simpleai ⭐ 12

A simple yet powerful C++17 implementation of deep neural networks from scratch.

Deeplearning_tensorflow ⭐ 12

DeepLearning Examples using TensorFlow

Deeplearninglab ⭐ 12

Some of the lab examples an exercises of my deep learning lectures

Galaxy10 ⭐ 11

A CIFAR10-like galaxy image dataset

Fada Pytorch ⭐ 11

PyTorch implementation of https://arxiv.org/abs/1711.02536

Gacluster ⭐ 11

Graph Agglomerative Clustering Library

Deepsupervisedhashing ⭐ 11

The Deep Supervised Hashing for Image Retrieval on CIFAR10/MNIST/Fashion-MNIST

Keras Examples ⭐ 11

Official Keras example projects on Floyd

Mnist Digit Recognizer Cnn Keras 99.66 ⭐ 11

Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels on 28000 Test Images with an Validation Accuracy of 99.52% and 99.66% on Kaggle Leaderboard.

Deep Feedfoward Neural Network ⭐ 11

This project is a simple neural network maden in javascript as known as MLP(Multilayer Perceptron) also.

Deep Adaptive Image Clustering Paper Implementation

Mnist Dnn ⭐ 11

Deep neural network for handling MNIST image recognition

Tensorflow Typescript Starter ⭐ 11

Starter project for TensorFlow.js in TypeScript for Node.js

Learning Class Invariant Features ⭐ 11

Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".

Deep_learning_lecture ⭐ 10

Deep learning lecture

Digitclassifier ⭐ 10

A Convolutional Deep Neural Network Using Theano for MNIST (0.6% Error)

Distributed Tensorflow ⭐ 10

Implementation example of Distributed Tensorflow

Swish Activation ⭐ 10

Repo for my blogs explaining swish activation function

Deep Learning ⭐ 10

深度学习实战

Deepneuralnetwork ⭐ 10

Deep neural network implemented in Java from scratch, without using library/framework.

Tibetanmnist ⭐ 10

MNIST of Tibetan handwriting 国产手写藏文MNIST数据集（TibetanMNIST）的图像分类处理与各种好玩的脑洞~

S4tf Notebooks ⭐ 10

Notebooks demonstrating Swift for TensorFlow projects

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Learning to share: simultaneous parameter tying and sparsification in deep learning

Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)

Handwritten Digit Recognition ⭐ 10

This project demonstrates Handwritten digit recognition using Deep Learning

Deepdomainadaptation ⭐ 10

Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)

Deepnumbers ⭐ 10

A set of educational deep learning demos applied to the MNIST dataset

Deepcodebase ⭐ 10

🏗️ A template for deep learning projects.

C++ Deep Learning Framework

Conv Autoencoder ⭐ 10

Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow

Deeplearningfromforr ⭐ 9

손으로 쓴 숫자 이미지를 판별하는 Deep Learning을 R로만 구현하자!

Machine_learning_deep_learning_lessons ⭐ 9

機械学習・深層学習入門レッスン/Machine Learning and Deep Learning lessons.

Semisupervised Learning With Dcgans ⭐ 9

Using DCGANs to learn useful representations during the adversarial training process and using the learned features to classify images with relatively little training data

Deeplearningtoolbox ⭐ 9

Deeplearning_mnist_halcon ⭐ 9

C#,DeepLearning,MNIST,Halcon,Classification

Mnist Handwritten Digit Recognition ⭐ 9

Classification of MNIST Handwritten Digits Database using Deep Learning

Personal Study Deep_mutual_learning ⭐ 9

Deep_in_mnist ⭐ 9

Interpretable Image Classification ⭐ 9

Interpretability methods applied on image classifiers trained on MNIST and CIFAR10

Deep Learning Mini Projects Pytorch ⭐ 9

Repository for Deep Learning Mini-Project with PyTorch - Using wandb sweep for hyperparameter setting - Face age regression - Fashion mnist

Deepexperiments ⭐ 9

TensorFlow/Keras experiments on computer vision and natural language processing

Robust Locally Linear Networks ⭐ 9

"Towards Robust, Locally Linear Deep Networks" (ICLR 2019)

VAE + Quantile Networks for MNIST

Microsoft_cntk2.0_from_r ⭐ 9

Showcase: calling Microsoft Cognitive Toolkit (CNTK) 2.0 deep learning library fromwithin R using reticulate package and Azure DSVM.

SemiFlow is a deep learning framework with automatic differentiation and automatic shape inference, developing from Numpy. 一个基于Numpy支持自动求导的深度学习框架

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