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"
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
A one stop shop for all of your activity recognition needs.
code for ICCV19 paper "Deep Meta Metric Learning"
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
Deep-learning seismic facies on state-of-the-art CNN architectures
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
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