Code to accompany the paper "Fin-GAN: Forecasting and Classifying Financial Time Series via Generative Adversarial Networks"
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Updated
Feb 26, 2024 - Python
Code to accompany the paper "Fin-GAN: Forecasting and Classifying Financial Time Series via Generative Adversarial Networks"
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch
I've created a method for estimating stock with deep learning use LSTM and GANS with Tensorflow
Image-to-Image Translation in PyTorch
Generative adversarial networks (GAN) for time series prediction, data assimilation and uncertainty quantification
notebooks and some data for playing with animeface stylegan2 and deepdanbooru
StyleGAN - Official TensorFlow Implementation
StyleGAN2 - Official TensorFlow Implementation
Pytorch project to convert camera matrices into images
Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
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