Metadata-Version: 2.1
Name: torchstudio
Version: 0.0.0a0
Summary: torchstudio
Home-page: https://github.com/JiauZhang/torchstudio
Author: JiauZhang
Author-email: jiauzhang@163.com
License: GPL
Keywords: PyTorch
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
License-File: LICENSE

### Transformer
- 2017-Attention Is All You Need [论文解读](https://mp.weixin.qq.com/s/hZ47wqCO9Xivf3egGhM-SQ)
- 2018-GPT-1-Improving Language Understanding by Generative Pre-Training [论文解读](https://mp.weixin.qq.com/s/OpbobhJbBe2hCGDpA3M0Zw)
- 2022-FLIP: Scaling Language-Image Pre-training via Masking [论文解读](https://mp.weixin.qq.com/s/MWiSoR13BXYevUCAXcZCjg)
- 2022-A-CLIP: Attentive Mask CLIP [论文解读](https://mp.weixin.qq.com/s/r8JTAMC3DxSXKIKY5IDE8A)

### 网络结构
- [AlexNet、GoogLeNet](https://mp.weixin.qq.com/s?__biz=MzUzNjU2OTkyOA==&mid=2247484071&idx=2&sn=0c1e813d5565a21ed88c9c1459900678&chksm=faf57380cd82fa963ab4b4adeb4cd88f9f3c2c22e1ba25d4fabb592ec17919b982ee6accec59&token=2091525340&lang=zh_CN#rd)
- [VGGNet、SqueezeNet](https://mp.weixin.qq.com/s?__biz=MzUzNjU2OTkyOA==&mid=2247484071&idx=1&sn=d0f1c391612aa3a4755c53acacf27811&chksm=faf57380cd82fa964a274ede29802c2ce4a6c9b9a4e7fe065985d51544300211e56354c374bc&token=2091525340&lang=zh_CN#rd)

### 深度学习框架
- [Caffe 是如何运行的？](https://mp.weixin.qq.com/s?__biz=MzUzNjU2OTkyOA==&mid=2247484251&idx=2&sn=9f6ee659f7404572217b0b568c2a7cfe&chksm=faf5727ccd82fb6a905ef9bb0a6af993319dc9d3ad9c6c679f86d6771cebae0a7a3d1044eaac&token=2091525340&lang=zh_CN#rd)
- [@tf.function的作用 ](https://mp.weixin.qq.com/s?__biz=MzUzNjU2OTkyOA==&mid=2247485273&idx=1&sn=2e1a01b80da67378cb983a3d75366c05&chksm=faf5767ecd82ff689de32829dc5977f3aaedee0ae63600622ceaff95b45c7716ff1333fb8269&token=2091525340&lang=zh_CN#rd)

### 生成对抗网络
- 2014-Generative Adversarial Nets [论文解读](https://mp.weixin.qq.com/s/b3IiLLYT6ko207l9D_NPCQ)
- 2014-Conditional Generative Adversarial Nets [论文解读](https://mp.weixin.qq.com/s/VvbLkP2xeZ3pFGDRpwHtiQ)
- 2016-Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [论文解读](https://mp.weixin.qq.com/s/tzSHOHGqrRUnM5j3QO7ARQ)
- 2016-InfoGAN: Interpretable Representation Learning by Infomation Maximizing Generative Adversarial Nets [论文解读](https://mp.weixin.qq.com/s/tSGiuFFhFOTbrXMUGT8NCA)
- 2017-Conditional Image Synthesis with Auxiliary Classifier GANs [论文解读](https://mp.weixin.qq.com/s/wnL_g-Iu5cz6trHG1q8OaQ)
- 2018-cGANs with Projection Discriminator [论文解读](https://mp.weixin.qq.com/s/MjfmrXh43sf7gkkE3y83HA)

### StyleGAN
- 2021-Encoding in Style：a StyleGAN Encoder for Image-to-Image Translation [论文解读](https://mp.weixin.qq.com/s/qj0EdHdJHnzo05XiQZ_7sA)
- 2022-AE-StyleGAN：Improved Training of Style-Based Auto-Encoders [论文解读](https://mp.weixin.qq.com/s/4izPf1UhIvpq5UBS0Hk6-g)

### 风格迁移
- 2017-Diversified Texture Synthesis with Feed-forward Networks [论文解读](https://mp.weixin.qq.com/s/HHRPCkPjqiGzgxdBBduA9A)
- 2018-CartoonGAN: Generative Adversarial Networks for Photo Cartoonization [论文解读](https://mp.weixin.qq.com/s/TYx3j2mf5V8itI-3m75p0Q)
- 2020-Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains [论文解读](https://mp.weixin.qq.com/s/9_KwBm3aJzdcnObLx6uGwg)
- 2020-StarGAN v2：Diverse Image Synthesis for Multiple Domains [论文解读](https://mp.weixin.qq.com/s/JIr6INutY_0IBCMRZN1pvQ)
- 2021-AgileGAN: Stylizing Portraits by Inversion-Consistent Transfer Learning [论文解读](https://mp.weixin.qq.com/s/CtEJdStB5afHGuEt_BeYtw)
- 2021-BlendGAN：Implicitly GAN Blending for Arbitrary Stylized Face Generation [论文解读](https://mp.weixin.qq.com/s/1VLtSzeJE9o3yxZbyecl3w)
- 2022-SemanticStyleGAN：Learning Compositional Generative Priors for Controllable Image Synthesis and Editing [论文解读](https://mp.weixin.qq.com/s/7Gt6fBo_AybYVoal4nH3ng)
