6308 Open source projects that are alternatives of or similar to Capsnet Traffic Sign Classifier

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Breast Cancer Classification using CNN and transfer learning

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Reducing the size of convolutional neural networks

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Binary Convolution Network for faster real-time processing in ASICs

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

A journey into Convolutional Neural Network visualization

Reproduce CheXNet

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

CNN 1D vs 2D audio classification

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Generating Captions for images using Deep Learning

Visualisations for Convolutional Neural Networks in Pytorch

Code examples for training AlexNet using Keras and Theano

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Text to Speech with PyTorch (English and Mongolian)

a collection of my notes on deep learning

Important paper implementations for Question Answering using PyTorch

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

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

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Repo for Tang et al, bioRxiv 454793 (2018)

Best Practices, code samples, and documentation for Computer Vision.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Diseases Detection from NIH Chest X-ray data

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

Keras implementation of a CNN network for age and gender estimation

capsule networks that achieves outstanding performance on the German traffic sign dataset

Exploratory Project on Fast Screen Space Global Illumination

Detecting cinema shot types using a ResNet-50

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

PyTorch tutorial for learners

Object classification with CIFAR-10 using transfer learning

A machine learning experiment

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Image Tampering Detection using ELA and CNN

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Implementations of some popular Saliency Maps in Keras

CNN image classifier implemented in Keras Notebook 🖼️.

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

Hiding Images within other images using Deep Learning

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition