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active-learning-transformer

A hands-on tutorial on how to use Active Learning with Transformer models.

activelearningframeworktutorial

An active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.

aerial_wildlife_detection

Tools for detecting wildlife in aerial images using active learning

al

Active Learining

al-svdd-tkinter

al_comparative

AL strategies using different classifiers

cifar-10-classification-using-scikit-learn

cyclegan-1

Tensorflow implementation of CycleGANs

cyclegan-keras

Keras implementation of CycleGAN using a tensorflow backend.

cyclegan-pix2pix-keras

A keras implementation of CycleGAN and pix2pix

dcgan

dcgan_code

Deep Convolutional Generative Adversarial Networks

deep-active-learning

Deep Active Learning

deep-svdd

Repository for the Deep One-Class Classification ICML 2018 paper

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

deepalplus

This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

deeponeclass

Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.

dental-landmark-detection

estimation of dental arch in maxillary deformities by CNN on CBCT images

extractable

Table extraction library

gabor-ca-resnet-and-split-based-deep-feature-transform-network

galaxy_one_class_classiifcation

generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

hybrid-gan-and-spectral-angular-distance-for-cloud-removal

icw-fmri-gan

An improved conditional wasserstein generative adversarial network (ICW-GAN) that is trained to generate synthetic fMRI data samples.

improved_diffiusion_sar_generation

Code to use and evaluate Probabilistic Diffusion Models for SAR and Satellite imagery

keras-adversarial

Keras Generative Adversarial Networks

keras-gan

Keras implementations of Generative Adversarial Networks.

lenet-5

PyTorch implementation of LeNet-5 with live visualization

lightweight-gan

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two