cnn-architecture

tobybreckon/fire-detection-cnn

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

JusperLee/Conv-TasNet

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

PPPW/deep-learning-random-explore

jhkim89/PyramidNet

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

alexisbcook/keras_transfer_cifar10

Object classification with CIFAR-10 using transfer learning

PacktPublishing/Hands-On-Deep-Learning-Algorithms-with-Python

Hands-On Deep Learning Algorithms with Python, By Packt

tum-vision/fusenet

This repository is the official release of the code for the following paper "FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture" which is published at the 13th Asian Conference on Computer Vision (ACCV 2016).

zanilzanzan/FuseNet_PyTorch

Joint scene classification and semantic segmentation with FuseNet

shuguang-52/2018-RemoteSens-FDSSC

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification(Remote Sensing 2018)

m-tassano/dvdnet

DVDnet: A Simple and Fast Network for Deep Video Denoising

sailordiary/LipNet-PyTorch

"LipNet: End-to-End Sentence-level Lipreading" in PyTorch

taspinar/sidl

Deep Learning code

perseus784/BvS

An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)

smhassanerfani/atlantis

A Benchmark for Semantic Segmentation of Waterbody Images

ehsanasgharzde/edepth

edepth is an open-source, trainable CNN-based model for depth estimation from single images, videos, and live camera feeds.

fitushar/Brain-Tissue-Segmentation-Using-Deep-Learning-Pipeline-NeuroNet

This Repository is for the MISA Course final project which was Brain tissue segmentation. we adopt NeuroNet which is a comprehensive brain image segmentation tool based on a novel multi-output CNN architecture which has been trained and tuned using IBSR18 dataset

ChrisLisbon/TorchCNNBuilder

Framework for the automatic creation of CNN architectures

jhkim89/PyramidNet-caffe

Caffe implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

iamurali/upgrad_ml_ai

UpGrad Course workout for ML & AI

migege/tf-CNN-CASIA-HWDB

A tensorflow implementation of recognition of handwritten Chinese characters.

pmorerio/curriculum-dropout

Code for the paper "Curriculum Dropout", ICCV 2017

scheckmedia/cgp-cnn-design

Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture

sichkar-valentyn/Neural_Networks_for_Computer_Vision

Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

jh-jeong/selective-convolution

Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)

mmourafiq/tensorflow-convolution-models

marph91/pocket-cnn

CNN-to-FPGA-framework for small CNN, written in VHDL and Python

golden-panther/glaucoma-detector

Glaucoma detection automation project. Trained a binary image classifier using CNNs and deployed as a streamlit web app. It takes eye (retinal scan) image as input and outputs whether the person is affected by glaucoma or not.

whoisraibolt/LBCNN

Local Binary Convolutional Neural Network for Facial Expression Recognition of Basic Emotions in Python using the TensorFlow framework

Pratik-Chhajer/Predicting-Photography-Aesthetics-with-CNNs

Using Convolutional Neural Networks to predict aesthetics of photographs

lepoeme20/pyTorch-text-classification

pyTorch-text-classification

arunsinghbabal/Traffic-Security

The goal of the project is to classify the vehicles, count their frequency, track them using unique ID and provide safety measures to the users by flagging the suspicious ones.

Qianli-Wu/EEG_classification

The final project for ECE C147/C247, which evaluates the performance of CNN + Transformer and CNN + GRU + SimpleRNN models on an EEG dataset.

D0352276/SFPN-Synthetic-FPN-for-Object-Detection

The SFPN is a novel plug-and-play component for the CNN object detector. This project is the official code for the paper "SFPN: Synthetic FPN for Object Detection" in IEEE ICIP 2022.

manishankarbalu/c-DCGAN

We use Conditional-DCGAN to generate animated faces :couple: and emojis :smiley: using pytorch

yousefkotp/Speech-Emotion-Recognition

Exploration of different audio features and CNN-based architectures for building an effective Speech Emotion Recognition (SER) system. The goal is to improve the accuracy of detecting emotions embedded in speech signals. The repository contains code, notebook, and detailed explanations of the experiments conducted.