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fixmatch

A simple method to perform semi-supervised learning with limited data.

fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

fixmatch-pytorch-1

90%+ with 40 labels. please see the readme for details.

fixmatch_pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

flashlight

A C++ standalone library for machine learning

forgery-classification-via-domain-adaptation

Classifying Forged vs Authentic using Domain Adaptation across in new domains in unsupervised settings

fortified-networks

Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

fpn.pytorch-1

Pytorch Implementation of "Feature Pyramid Networks for Object Detection"

fpnsr

PyTorch Implementation of Paper 'Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network' (IFTC2019)

from-keras-to-c

A practical example of Tensorflow C API based deployment starting from a model trained with Tensorflow + Keras

fss-1000

FSS-1000, A 1000-class Dataset For Few-shot Segmentation

fully-connected-densenets-semantic-segmentation

Fully Connected DenseNet for Image Segmentation (https://arxiv.org/pdf/1611.09326v1.pdf)

funit

Translate images to unseen domains in the test time with few example images.

fusenet

Network inference by fusing data from diverse distributions

gae

Implementation of Graph Auto-Encoders in TensorFlow

gan

Tooling for GANs in TensorFlow

gan-1

gan-2

gan, dcgan, wgan, cgan, pix2pix, unet, cyclegan, gaugan, mnist, celeba, voc, google colab, pytorch, torchvision

gan-3

GAN관련 논문 정리 및 구현

gan-keras

tensorflow2.x implementations of Generative Adversarial Networks.

gan-optimization-landscape

code to reproduce the empirical results in the research paper

gan-pytorch-mnist

Jupyter notebooks with gan architectures implemented in pytorch.

gan_collections

gan_lesion_filling

Lesion filling with GANs

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gans-collections-tf2.0_keras-eager_mode

This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN

gans-tensorflow2

🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...