arashno's repositories
tensorflow_multigpu_imagenet
Tensorflow code for training different architectures(DenseNet, ResNet, AlexNet, GoogLeNet, VGG, NiN) on ImageNet dataset + Multi-GPU support + Transfer Learning support
pytorch_multigpu_csv
PyTorch code for training different architectures(DenseNet, ResNet, AlexNet, Inception, VGG) on large datasets + Multi-GPU support + Transfer Learning support
norouzzadeh-et-al-MEE-2020
This repository contains the code, models, and instructions to run active deep learning animal identification as described in the following paper: Norouzzadeh, Mohammad Sadegh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, and Jeff Clune. "A deep active learning system for species identification and counting in camera trap images."
dqn-in-the-caffe
An implementation of Deep Q-Network using Caffe