Pinned Repositories
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Computer-Networking-A-Top-Down-Approach-NOTES
📚《计算机网络 自顶向下方法》(第六版)
d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
How-to-be-a-good-programmer
I'm here to tell you some amazing stuff which teacher would never tell you.
Operating-Systems-Three-Easy-Pieces-NOTES
操作系统导论(ostep)笔记/课后习题答案/附加代码
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch-Course
JULYEDU PyTorch Course
Ranger-Deep-Learning-Optimizer
Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
Ranger21
Ranger deep learning optimizer rewrite to use newest components
TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
skiuniverse's Repositories
skiuniverse/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
skiuniverse/Computer-Networking-A-Top-Down-Approach-NOTES
📚《计算机网络 自顶向下方法》(第六版)
skiuniverse/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
skiuniverse/How-to-be-a-good-programmer
I'm here to tell you some amazing stuff which teacher would never tell you.
skiuniverse/Operating-Systems-Three-Easy-Pieces-NOTES
操作系统导论(ostep)笔记/课后习题答案/附加代码
skiuniverse/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
skiuniverse/PyTorch-Course
JULYEDU PyTorch Course
skiuniverse/Ranger-Deep-Learning-Optimizer
Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
skiuniverse/Ranger21
Ranger deep learning optimizer rewrite to use newest components
skiuniverse/TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
skiuniverse/transformerCPI
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524