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

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

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.

Keras implementation of a ResNet-CAM model

A Multiclass Weed Species Image Dataset for Deep Learning

Detecting cinema shot types using a ResNet-50

Dynamic and static models for real-time facial emotion recognition

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

Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree

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

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

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

Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"

Segmentation for vertebra in MR images

code for ICCV19 paper "Deep Meta Metric Learning"

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

Deep neural network trained to detect eye contact from facial image

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

Exploring the connections between artworks with deep "Visual Analogies"

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

CP and Tucker decomposition for Convolutional Neural Networks

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

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

Brain Tomur Classification Using Pre-trained Models

Implementation of a Neural Network that can detect whether a video is in-game or not

Pytorch model for NSFW classification with usage example

This model is created using pre-trained CNN architecture (VGG16 and RESNET50) via Transfer Learning that classifies the Waste or Garbage material (class labels =7) for recycling.

Deployed bird classification webapp using Deep Learning, Docker, and Streamlit. Users can go onto the webapp and either upload their own images of birds or select from a set of images to feed through a Deep Learning model and display a prediction.

Base on tensorrt version 8.2.4, compare inference speed for different tensorrt api.