This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
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Updated
Jun 29, 2018 - Python
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
deeplearning.ai Tensorflow advance techniques specialization
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
stockwatcher, a modern android development stack showcase
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
Deep Learning Project to Teach a Car to Drive Autonomously Using Only Camera Images.
Chest X-Ray Image classification using PyTorch.
ElasticModels is a elasticsearch object modeling tool designed to work in and asynchronous environment. Builded for official elasticsearch client library Main inspiration was mongoose project
Official PyTorch and CVXPY implementation of Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
Building a network to predict steering angles from images
CNN model architecture implementations in Keras
Identify traffic sign images through Supervised Classification via Deep Learning and Computer Vision using Python, Tensorflow, Jupyter and Anaconda in AWS Cloud.
Research project on trafiic sign recognition using deep learning and computer vision.
This is my first personal project about training a deep learning algorithm for road traffic signs recognition.
Clone driving behavior using a deep convolutional neural network (CNN).
Udacity CarND Behavioral Cloning Project, Python, Tensorflow, Keras
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