原作名:Make Your First GAN With PyTorch 出版年:2020-3-14 定价:USD 42.99 装帧:Paperback ISBN:9798624728158 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· A gentle introduction to Generative Adversarial Networks, and a practical step-by-step tutorial on mak...
Make Your First GAN With PyTorch(个人译为:《使用 PyTorch 制作自己的第一个 GAN 网络》)是由Tariq Rashid编写的生成对抗网络GAN的入门书籍,可以在 Amazon 上购买英文电子版。 原书封面 本书作者Tariq Rashid拥有机器学习和数据挖掘硕士学位,目前活跃在伦敦技术领域,领导了一个有 3000 名成员的伦敦 Python 小组。
76 zergtant/pytorch-handbook pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行 10.1k Jupyter Notebook 01/17 77 CarGuo/gsy_github_app_flutter Flutter 超完整的开源项目,功能丰富,适合学习和日常使用。GSYGit...
Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors - CasualGANPapers/Make-A-Scene
We implemented ACGAN using the Pytorch [40] scientific computing framework. We used the FFHQ dataset to train the age-compensation branch, while we used the MT dataset to train the makeup transformation branch. We used a four-way NVIDIA TITAN V to train and infer the model. We used Adam ...
mrdragonbear/GAN-Tutorial GitHub is home to over 50 million developers working together to host and review code, manage projects, and build… github.com Short Review of GANs For those of you who have read the first part, you can probably skip over this section as I will just be reiterat...
Inspired by traditional GAN networks, we introduce a generator‐ discriminator structure, where the generator is responsible for generating face images with makeup. The discriminator needs to identify whether the image is a natural makeup face image or an image generated by the generator as much ...
Video Makeup Transfer (by simply applying PSGAN on each frame) Please consider citing this project in your publications if it helps your research. The following is a BibTeX reference. The BibTeX entry requires the url LaTeX package.
Your current environment Head of main after various cohere updates/fixes. Issues: Default is 8192 if don't do anything, but model card says 128k context: https://huggingface.co/CohereForAI/c4ai-command-r-v01 Trying to change --max-model-...
This is re-implementation ofTransGAN: Two Transformers Can Make One Strong GAN, and That Can Scale Up, CVPR 2021in PyTorch. Generative Adversarial Networks-GAN builded completely free of Convolutions and used Transformers architectures which became popular since Vision Transformers-ViT. In this implem...