Tools to Design or Visualize Architecture of Neural Network
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Updated
Jan 28, 2024
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"
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.
code for ICCV19 paper "Deep Meta Metric Learning"
A one stop shop for all of your activity recognition needs.
A fashion Recommender system using deep learning Resnet50 and Nearest neighbour algorithm
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
Segmentation for vertebra in MR images
Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"
Dynamic and static models for real-time facial emotion recognition
Exploring the connections between artworks with deep "Visual Analogies"
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