From 17d00bf6a50ba514697bde290e6e341e37c4d1dd Mon Sep 17 00:00:00 2001 From: wenglean <1547506069@qq.com> Date: Sat, 8 Jan 2022 00:34:16 -0800 Subject: [PATCH] add some learning resources --- References.md | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/References.md b/References.md index 679455d..7e0674e 100644 --- a/References.md +++ b/References.md @@ -36,7 +36,18 @@ ## Course & Code -* [《统计学习方法》的代码](https://gitee.com/afishoutis/MachineLearning) + +- Course + - [《动手学深度学习》 — 动手学深度学习 2.0.0-alpha2 documentation](https://zh-v2.d2l.ai/index.html) + - [连接高校和企业 - 蓝桥云课](https://www.lanqiao.cn/) + - [Introduction — Neuromatch Academy: Deep Learning](https://deeplearning.neuromatch.io/tutorials/intro.html) +- code + - [《统计学习方法》的代码](https://gitee.com/afishoutis/MachineLearning) + - [《统计学习方法》pytorch实现](https://github.com/fengdu78/lihang-code) + - [pytorch-cifar100](https://github.com/weiaicunzai/pytorch-cifar100) 实现ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet + - [Attention: xmu-xiaoma666/External-Attention-pytorch: 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐ (github.com)](https://github.com/xmu-xiaoma666/External-Attention-pytorch) 注意力机制，多层神经网络，重参数。 + - [Python TheAlgorithms/Python: All Algorithms implemented in Python (github.com)](https://github.com/TheAlgorithms/Python) + - PytTorch 训练手册 https://github.com/zergtant/pytorch-handbook ## Exercise * http://sofasofa.io/competitions.php?type=practice @@ -50,6 +61,7 @@ * Titanic: notebooks/data-science-ipython-notebooks/kaggle/titanic.ipynb * 使用神经网络解决拼图游戏 https://www.toutiao.com/a6855437347463365133/ * [Sudoku-Solver](https://github.com/shivaverma/Sudoku-Solver) +* Python 小项目 https://github.com/kyclark/tiny_python_projects ## Method