TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models. - TextGAN-PyTorch/requirements.txt at master · mbrukman/TextGAN-PyTorch
Github项目地址:https://github.com/williamSYSU/TextGAN-PyTorch TextGAN是一个用于生成基于GANs的文本生成模型的PyTorch框架。TextGAN是一个基准测试平台,支持基于GAN的文本生成模型的研究。由于大多数基于GAN的文本生成模型都是由Tensorflow实现的,TextGAN可以帮助那些习惯了PyTorch的人更快地进入文本生成领域。 目前,只...
Please install PyTorch, TensorFlow and SRU (if needed) first. Once you have those, then git clone --recursive https://github.com/r9y9/gantts && cd gantts pip install -e ".[train]" should install all other dependencies. Repository structure ...
- AI方面:大一参加数学建模了解了神经网络算法,后在网络金融课分享了鱼书的ppt,得知金融方面的非结构信息常用深度学习算法,之后阅读过二十几本人工智能相关书籍,在20年用4个月自学完了《动手学深度学习》预览版并动手翻译MXNet到PyTorch、TF2的GAN\DCGAN,复现PyTorch、DJL等一系列深度学习移动端框架的Demo。- 产品经理...
Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors - CasualGANPapers/Make-A-Scene
ControlGAN Pytorch implementation for Controllable Text-to-Image Generation. The goal is to generate images from text, and also allow the user to manipulate synthetic images using natural language descriptions, in one framework. Controllable Text-to-Image Generation. ...
Pytorch implementation for reproducing AttnGAN results in the paper AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks by Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He. (This work was performed when Tao was an ...
ControlGAN Pytorch implementation for Controllable Text-to-Image Generation. The goal is to generate images from text, and also allow the user to manipulate synthetic images using natural language descriptions, in one framework. Overview Controllable Text-to-Image Generation. ...