einops:重塑了深度学习操作(适用于pytorch,tensorflow,jax等)-源码

上传者: 42114645 | 上传时间: 2021-03-29 13:59:31 | 文件大小: 337KB | 文件类型: ZIP
ino 灵活而强大的张量操作,可读取且可靠的代码。 支持numpy,pytorch,tensorflow。 鸣叫 万一您需要令人信服的论点来拨出时间来学习einsum和einops,... 使用PyTorch和einops编写更好的代码 :OK_hand: 毫无疑问,einops正在慢慢渗透到我代码的每个角落。 如果您发现自己绕着数以千计的维数张量这可能会改变您的生活 内容 讲解 教程是查看einops的最便捷方法(现在可以作为文档使用) 第1部分: 第2部分: 第3部分:(到目前为止仅适用于pytorch) 安装 干净利落: pip install einops API einops具有简

文件下载

资源详情

[{"title":"( 47 个子文件 337KB ) einops:重塑了深度学习操作(适用于pytorch,tensorflow,jax等)-源码","children":[{"title":"einops-master","children":[{"title":".travis.yml <span style='color:#111;'> 325B </span>","children":null,"spread":false},{"title":"docs","children":[{"title":"css","children":[{"title":"mkdocs.css <span style='color:#111;'> 143B </span>","children":null,"spread":false}],"spread":true},{"title":"1-einops-basics.ipynb <span style='color:#111;'> 265.90KB </span>","children":null,"spread":false},{"title":"source_examples","children":[{"title":"Pytorch.ipynb <span style='color:#111;'> 95.95KB </span>","children":null,"spread":false},{"title":"converter.py <span style='color:#111;'> 4.25KB </span>","children":null,"spread":false}],"spread":true},{"title":"2-einops-for-deep-learning.ipynb <span style='color:#111;'> 28.79KB </span>","children":null,"spread":false},{"title":"pytorch-examples.html <span style='color:#111;'> 253.09KB </span>","children":null,"spread":false},{"title":"resources","children":[{"title":"einops_logo_350x350.png <span style='color:#111;'> 33.31KB </span>","children":null,"spread":false},{"title":"test_images.npy <span style='color:#111;'> 1.27MB </span>","children":null,"spread":false}],"spread":true},{"title":"api","children":[{"title":"repeat.md <span style='color:#111;'> 34B </span>","children":null,"spread":false},{"title":"asnumpy.md <span style='color:#111;'> 36B </span>","children":null,"spread":false},{"title":"reduce.md <span style='color:#111;'> 34B </span>","children":null,"spread":false},{"title":"rearrange.md <span style='color:#111;'> 40B </span>","children":null,"spread":false},{"title":"parse_shape.md <span style='color:#111;'> 44B </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 414B </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"__init__.py <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false}],"spread":true},{"title":"index.md <span style='color:#111;'> 12B </span>","children":null,"spread":false}],"spread":true},{"title":"test.py <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false},{"title":".github","children":[{"title":"ISSUE_TEMPLATE","children":[{"title":"extensions--introducing-new-operation---improve-notion.md <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"bug_report.md <span style='color:#111;'> 366B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"mkdocs.yml <span style='color:#111;'> 961B </span>","children":null,"spread":false},{"title":"tests","children":[{"title":"test_ops.py <span style='color:#111;'> 22.65KB </span>","children":null,"spread":false},{"title":"test_examples.py <span style='color:#111;'> 10.93KB </span>","children":null,"spread":false},{"title":"test_parsing.py <span style='color:#111;'> 4.22KB </span>","children":null,"spread":false},{"title":"test_other.py <span style='color:#111;'> 5.84KB </span>","children":null,"spread":false},{"title":"test_einsum.py <span style='color:#111;'> 2.66KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"test_layers.py <span style='color:#111;'> 14.14KB </span>","children":null,"spread":false},{"title":"test_notebooks.py <span style='color:#111;'> 1.80KB </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"setup.py <span style='color:#111;'> 757B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.26KB </span>","children":null,"spread":false},{"title":"einops","children":[{"title":"_backends.py <span style='color:#111;'> 16.46KB </span>","children":null,"spread":false},{"title":"einops.py <span style='color:#111;'> 25.31KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 287B </span>","children":null,"spread":false},{"title":"layers","children":[{"title":"gluon.py <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"_weighted_einsum.py <span style='color:#111;'> 6.62KB </span>","children":null,"spread":false},{"title":"keras.py <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 2.86KB </span>","children":null,"spread":false},{"title":"tensorflow.py <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false},{"title":"chainer.py <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"torch.py <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false}],"spread":false},{"title":"parsing.py <span style='color:#111;'> 6.10KB </span>","children":null,"spread":false}],"spread":true},{"title":"README TensorFlow.md <span style='color:#111;'> 8.06KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 9.18KB </span>","children":null,"spread":false},{"title":"scripts","children":[{"title":"deploy-docs.sh <span style='color:#111;'> 29B </span>","children":null,"spread":false},{"title":"run-docs.sh <span style='color:#111;'> 40B </span>","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明