MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
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Updated
Dec 24, 2021 - Python
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
Chest X-Ray Image classification using PyTorch.
Official PyTorch and CVXPY implementation of Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
CNN model architecture implementations in Keras
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
Building a network to predict steering angles from images
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)
Udacity Self Driving Car Nanodegree - Behavioral Cloning
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Udacity CarND Behavioral Cloning Project, Python, Tensorflow, Keras
Clone driving behavior using a deep convolutional neural network (CNN).
Deep Learning Project to Teach a Car to Drive Autonomously Using Only Camera Images.
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