MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

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)

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders

Chest X-Ray Image classification using PyTorch.

Official PyTorch and CVXPY implementation of Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming

Deep Learning Project to Teach a Car to Drive Autonomously Using Only Camera Images.

Building a network to predict steering angles from images

CNN model architecture implementations in Keras

Clone driving behavior using a deep convolutional neural network (CNN).

Udacity CarND Behavioral Cloning Project, Python, Tensorflow, Keras

Udacity Self Driving Car Nanodegree - Behavioral Cloning