google-colaboratory

问题 I want to use svmutil functions from https://github.com/Netflix/vmaf/tree/master/libsvm/python in my Jupyter notebook which runs on Google Colaboratory. Running import svmutil gives the following error: ModuleNotFoundError: No module named 'svmutil' How do I install this github repo in colab? 回答1: You'll need to install the library first. Here's a complete example: https://colab.research.google.com/drive/1svYMGnV7HdeqXpN15T5ajxbLijLmBeSm The key bits: # Clone the git repo. !git clone https:/

问题 How do I store my trained model on Google Colab and retrieve further on my local disk? Will checkpoints work? How do I store them and retrieve them after some time? Can you please mention code for that. It would be great. 回答1: Google Colab instances are created when you open the notebook and are deleted later on so you can't access data on different runs. If you want to download the trained model to your local machine you can use: from google.colab import files files.download(<filename>) And

问题 I just got started with keras, and I tried to build a model for the mnist dataset in the keras.datasets Here's my initial code: import tensorflow as tf (train_images, train_labels), (test_images, test_labels) = tf.keras.datasets.mnist.load_data() Then, I defined a model: model = tf.keras.Sequential() model.add(tf.keras.layers.Flatten(input_shape=(28,28))) model.add(tf.keras.layers.Dense(512, activation = tf.nn.relu)) model.add(tf.keras.layers.Dense(10, activation = tf.nn.softmax)) model

问题 I just got started with keras, and I tried to build a model for the mnist dataset in the keras.datasets Here's my initial code: import tensorflow as tf (train_images, train_labels), (test_images, test_labels) = tf.keras.datasets.mnist.load_data() Then, I defined a model: model = tf.keras.Sequential() model.add(tf.keras.layers.Flatten(input_shape=(28,28))) model.add(tf.keras.layers.Dense(512, activation = tf.nn.relu)) model.add(tf.keras.layers.Dense(10, activation = tf.nn.softmax)) model

问题 I am trying out Google Colab, but then I keep getting this pop up box that says: Error Could not access the resources needed to display output. This is probably because third-party cookies are not allowed by your browser. NotSupportedError: Failed to register a ServiceWorker: The user denied permission to use Service Worker. While turn off Block third party cookies worked for me from here, I would like to keep the setting to be turned on at all times for the sake of our privacy. Currently I

问题 Matplotlib doesn't give me the visualisation I want I like the interactive features of Bokeh and I would like to see if someone was able to get it running inside Google Colab? I installed the library (from the notebook itself) and it showed the installation is successful !pip install bokeh but when I use it. It doesn't show anything (not even an error). Just blank output. When I check chrome's Javascript console, I see the follwoing Bokeh: ERROR: Unable to run BokehJS code because BokehJS

问题 I connected my Google Drive to Google Colab with this code: # Load the Drive helper and mount from google.colab import drive # This will prompt for authorization. drive.mount('/content/drive') Now when I want to read a series of folders containing images in my drive, it runs very slow compared to my pc! And I've noticed that if I run the code a second time, folders which have been already read in the previous run are loaded faster. Do you have any suggestions for this problem? Thanks. 来源：

问题 PyTorch v1.0.0 stable was released on 8 December 2018 after being announced 7 months earlier. I want get a version optimised for the hardware that my IPython kernel is running on. How do I get this version on Google Colab? 回答1: try the following code snippet (it works equally for the runtime with or without gpu) !pip install -q torch==1.0.0 torchvision to check the version import torch print(torch.__version__) here you have the version 1.0.0 UPDATE !pip install torch Works fine now, as the

问题 When executing the following lines, !pip install kaggle !kaggle competitions download -c dogs-vs-cats -p /content/ I got the following error messages, Traceback (most recent call last): File "/usr/local/bin/kaggle", line 7, in <module> from kaggle.cli import main File "/usr/local/lib/python3.6/dist-packages/kaggle/__init__.py", line 23, in <module> api.authenticate() File "/usr/local/lib/python3.6/dist-packages/kaggle/api/kaggle_api_extended.py", line 109, in authenticate self._load_config

问题 In a project, I have e.g. two different packages, How can I use the setup.py to install these two packages in the Google's Colab, so that I can import the packages? 回答1: You can use !setup.py install to do that. Colab is just like a Jupyter notebook. Therefore, we can use the ! operator here to install any package in Colab. What ! actually does is, it tells the notebook cell that this line is not a Python code, its a command line script . So, to run any command line script in Colab, just add