Tools to Design or Visualize Architecture of Neural Network
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Updated
Feb 2, 2023
Tools to Design or Visualize Architecture of Neural Network
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement 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.
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
A Multiclass Weed Species Image Dataset for Deep Learning
Detecting cinema shot types using a ResNet-50
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.
code for ICCV19 paper "Deep Meta Metric Learning"
A one stop shop for all of your activity recognition needs.
Exploring the connections between artworks with deep "Visual Analogies"
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
Segmentation for vertebra in MR images
Deep-learning seismic facies on state-of-the-art CNN architectures
CP and Tucker decomposition for Convolutional Neural Networks
Implementation of a Neural Network that can detect whether a video is in-game or not
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