Tools to Design or Visualize Architecture of Neural Network

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

StyleGAN Encoder - converts real images to latent space

ImageNet pre-trained models with batch normalization for the Caffe framework

Keras implementation of a ResNet-CAM model

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

A Multiclass Weed Species Image Dataset for Deep Learning

Detecting cinema shot types using a ResNet-50

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

code for ICCV19 paper "Deep Meta Metric Learning"

A one stop shop for all of your activity recognition needs.

Segmentation for vertebra in MR images

Exploring the connections between artworks with deep "Visual Analogies"

A fashion Recommender system using deep learning Resnet50 and Nearest neighbour algorithm

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Deep-learning seismic facies on state-of-the-art CNN architectures

[official] No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019