Google Drive
Dropbox
Mega
Box
Microsoft OneDrive
ownCloud
Nextcloud
pCloud
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
OpenCV
Clarifai
MLKit
Google DriveWell first of all its easy to carry as its in my mobile device plus laptop. File sharing is not only secure but also easy to use. giving me all kind of access to google doc, google presentation, data and etc. working on big projects with big teams is being made easy by google drive.
Based on our record, Keras seems to be a lot more popular than Google Drive. While we know about 31 links to Keras, we've tracked only 2 mentions of Google Drive. 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.
I'm running the latest beta of Ventura and the Google Drive sync app installed from google.com/drive. Source: over 1 year ago
Is Google Drive good for backing up files? Safety of personal Data loss is important, choosing Google Drive as means to Store files and folder is key to preventing loss of Data. Backup files to Google Drive are very useful for to managed personal files and making files easier to share with family and friends. How to use Google Drive for backup. Source: about 2 years ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 21 days ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 29 days ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 11 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
Dropbox - Online Sync and File Sharing
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.
Mega - Secure File Storage and collaboration
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
