Dropbox
Google Drive
Box
Mega
Microsoft OneDrive
pCloud
ownCloud
WeTransfer
PyTorch
TensorFlow
Keras
Scikit-learn
NumPy
CUDA Toolkit
Pandas
MLKit
Dropbox PyTorchIt's much more convenient than GoogleDrive. I frequently use it to share my projects on freelance platforms. This is reliable cloud storage with many features
Based on our record, PyTorch should be more popular than Dropbox. It has been mentiond 144 times since March 2021. 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.
Even better: upload an example Excel file to a file-sharing website (box.net/files, dropbox.com, onedrive.live.com, etc), and post a download link that does not require that we log in. Source: over 2 years ago
Note that Dropbox automatically backs up all your files. So if you delete a file, you can recover it on dropbox.com, even 6 months later. Source: almost 3 years ago
Upload what is on that stick to a cloud based system that is not vulnerable to degradation of hardware, you can get a lot of storage for free on sites like dropbox.com, mega.nz, or icloud. You can also always make multiple backups. Source: almost 3 years ago
Did you try logging into dropbox.com and checking there? Often the files remain online even if they are removed locallY. You have to log in with the same account you deleted Locally. Source: about 3 years ago
Dropbox: You absolutely NEED backups. Ideally, both physical and cloud backups, because if you only have one backup, you're not backed up. I can't even begin to tell you how many writers have lost days, weeks, or even entire novels worth of work because they failed to back up their work, then had their computer break or had some weird software snafu. Dropbox is my preferred cloud backup solution, because you can... Source: about 3 years ago
PyTorch: A popular deep learning framework for Python. - Source: dev.to / 20 days ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
Install PyTorch with GPU support: Go to the official PyTorch website (pytorch.org) and use their configurator to get the correct pip or conda command for your specific CUDA version. It will look something like this:. - Source: dev.to / 3 months ago
Open source contributions to democratize AI capabilities represent one of the most direct ways individual developers can impact AI inequality. Contributing to projects like Apache MXNet, PyTorch, or specialized tools for underserved communities multiplies your impact beyond individual projects. - Source: dev.to / 4 months ago
What's particularly intriguing is how NemoClaw integrates with Nvidia's broader AI ecosystem. Unlike standalone HPC libraries, it's designed to work seamlessly with frameworks like PyTorch and TensorFlow, enabling researchers to combine traditional numerical methods with machine learning approaches in ways that weren't practical before. - Source: dev.to / 4 months ago
Google Drive - Access and sync your files anywhere
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Mega - Secure File Storage and collaboration
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.