https://github.com/alro10/pytorch1.xtutorials-gcolab
PyTorch 1.x version's Tutorials using Google Colab: Overview, Regression, ConvNets, RNNs, GANs tutorials, etc.
https://github.com/alro10/pytorch1.xtutorials-gcolab
colab convnets deep-learning gans google-colab google-colab-tutorial google-colaboratory linear-regression logistic-regression machine-learning pytorch pytorch-1 pytorch-examples pytorch-tutorial regression
Last synced: about 1 month ago
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PyTorch 1.x version's Tutorials using Google Colab: Overview, Regression, ConvNets, RNNs, GANs tutorials, etc.
- Host: GitHub
- URL: https://github.com/alro10/pytorch1.xtutorials-gcolab
- Owner: Alro10
- License: mit
- Created: 2019-04-14T23:22:12.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-11-18T15:47:48.000Z (over 6 years ago)
- Last Synced: 2025-06-23T18:50:31.012Z (12 months ago)
- Topics: colab, convnets, deep-learning, gans, google-colab, google-colab-tutorial, google-colaboratory, linear-regression, logistic-regression, machine-learning, pytorch, pytorch-1, pytorch-examples, pytorch-tutorial, regression
- Language: Jupyter Notebook
- Homepage:
- Size: 155 KB
- Stars: 4
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PyTorch 1.x Tutorials (step by step) with Google Colaboratory
[](http://makeapullrequest.com)
Tutorials: Overview, Linear Regression, Logistic Regression, Shallow Neural Networks, ConvNets, RNNs and LSTM, GANs, VAEs, Tensorboard with Pytorch, etc.[Official PyTorch site](https://pytorch.org/).
*under developing!*
## Installation
* Python 3.5
**No CUDA**
```
pip3 install https://download.pytorch.org/whl/cpu/torch-1.0.1.post2-cp35-cp35m-linux_x86_64.whl
pip3 install torchvision
```
**CUDA 8.0**
```
pip3 install https://download.pytorch.org/whl/cu80/torch-1.0.1.post2-cp35-cp35m-linux_x86_64.whl
pip3 install torchvision
```
**CUDA 9.0**
```
pip3 install torch torchvision
```
**CUDA 10.0**
```
pip3 install https://download.pytorch.org/whl/cu100/torch-1.0.1.post2-cp35-cp35m-linux_x86_64.whl
pip3 install torchvision
```
**Google Colaboratory**
In Google colab you can only use Python 3.6 and Pytorch 1.1 is available. Also you can run coding for free! click on  and try yourself on colab, File -> Save in drive -> Run on your G Colab.
## TODO
- [x] [Overview](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson01-Overview/01_tensor_tutorial.ipynb)
- [x] [Linear Regression](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson02-Linear-Regression/02_linear_regression.ipynb)
+ Check [torch.nn](https://pytorch.org/docs/stable/nn.html) out for better understanding `nn.module`.
- [x] [Logistic Regression](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson03-Logistic-Regression/03_logistic_mnist.ipynb)
- [X] [MNIST (shallow neural network)](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson04-Neural-Network/04_NeuralNets_mnist.ipynb)
- [x] [ConvNets-MNIST](https://github.com/Alro10/PyTorch1.xTutorials/blob/master/lesson05-ConvNets/05_ConvNets_mnist.ipynb)
- [ ] FashionMNIST
- [ ] CIFAR10
- [ ] ResNet
- [ ] YOLO
- [ ] Deep Reinforcement Learning
- [ ] Meta Reinforcement Learning
- [ ] GANs
- [ ] VAEs
- [ ] Model Predictive Control (MPC)