Based on our record, GitHub Codespaces seems to be a lot more popular than TensorFlow. While we know about 143 links to GitHub Codespaces, we've tracked only 7 mentions of TensorFlow. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Then, we had the rise of the cloud and the arrival of cloud-based IDEs. The first cloud-based IDE was PHPanywhere (eventually becoming CodeAnywhere) in 2009, followed by Cloud9 in 2010 (before AWS bought it in 2016), Glitch (2018), GitPod (2019), GitHub Codespaces (2020), and Google’s Project IDX (2024). - Source: dev.to / 18 days ago
If your team is using a Cloud Development Environment such as GitHub Codespaces, or Dev Containers such as Docker, you can even share the installation of dbaeumer.vscode-eslint with your teammates, via devcontainer.json. - Source: dev.to / about 2 months ago
Https://github.com/features/codespaces Currently, it is probably the most convenient for coding on mobile devices. Source: 7 months ago
I am currently right now viewing Angular Essential Training (paid by my company but I have a personal Pluralsight) and using GitHub Codespaces for $4 a month to host the virtuals created for such coding/learning. Source: 7 months ago
I’m very interested in recent advancements in cloud-hosted development environments. GitHub Codespaces is the option I have the most experience with and the one I use more generally. With cloud-hosted development environments, your local machine becomes more of a thin client that facilitates access to the internet and the development environment. That is a considerable step toward enabling better education in... - Source: dev.to / 7 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
CloudShell - Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
StackBlitz - Online VS Code Editor for Angular and React
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.