slala2121

ece364_2023

brainiak

Brain Imaging Analysis Kit

cifar-vgg

VGG16 models for CIFAR-10 and CIFAR-100 using Keras

cvpr18-inaturalist-transfer

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fetal_brain_mri_quality_assessment

GAN_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

GTN

metrik

slala2121/fetal_brain_mri_quality_assessment

slala2121/brainiak

Brain Imaging Analysis Kit

slala2121/cifar-vgg

VGG16 models for CIFAR-10 and CIFAR-100 using Keras

slala2121/cvpr18-inaturalist-transfer

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

slala2121/EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

slala2121/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

slala2121/GAN_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

slala2121/GTN

slala2121/metrik

slala2121/MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

slala2121/PyTorch_CIFAR10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

slala2121/robustness_applications

Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"

slala2121/slala2121.github.io

slala2121/SupContrast-1

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

slala2121/Triplet-net-keras

Implementation of Triplet Neural Network on keras