loss-correction

DeepLearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and...

liresnet

RepVGG

RepVGG: Making VGG-style ConvNets Great Again

gluon-cv

Gluon CV Toolkit

Deep-Image-Matting

This is tensorflow implementation for paper "Deep Image Matting"

Weight-Decay

Regularization, Neural Network Training Dynamics

pos_adv

[NAACL 2018] Robust Sequence Labeling with Adversarial Training

NNG-Pytorch

deep_separation_contraction

This is the code for the CVPR17 paper "Building a Regular Decision Boundary with Deep Networks"

adversarial-learning-robustness

Contains materials for workshops pertaining to adversarial robustness in deep learning.

Semantic-Image-Completion

Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond

gap-contrastive-and-supervised-losses

#ICML2022 Experimental codes of "On the Surrogate Gap between Contrastive and Supervised Losses"

NeuralBabyTalk

Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"

csmri-refinement

Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"

SegLossOdyssey

A collection of loss functions for medical image segmentation