Looking back at the times when we used to exchange 10 emails to find a time to meet feels like the dark ages. But we have a long way to go. The scheduling tools of today put the burden on the recipient, which can be even more inconvenient than trading emails in the first place. We believe using a scheduling tool should be just as easy for the recipient as it is for the sender.
Why the folks you’re sending your scheduling link to will love SavvyCal:
Why you’ll be glad you switched to SavvyCal:
SavvyCal might be a bit more popular than TensorFlow. We know about 8 links to it since March 2021 and only 7 links to 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.
Not sure! Perhaps this could work https://www.startbooking.com/ or this https://savvycal.com/. Source: over 1 year ago
I use SavvyCal to allow clients to schedule meetings with me. It integrates all of my calendars: iCloud, Google, Microsoft. So clients always see when I’m busy and when I’m available, according to all of those calendars. Source: over 1 year ago
Make • Build and automate workflows InvoiceBerry • Online invoicing for small businesses Gusto • Payroll, benefits and HR management Hive • Manage tasks, workflows and team’s work Lanva • Social video editing app. ClickUp • Manage tasks, docs, chat, goals and more Plausible • Open-source privacy-friendly web analytics Podcast Hawk • Podcast guest booking software. Writesonic • AI-driven content... Source: over 1 year ago
I built something like for a University many years ago, but I don't believe what you're looking for exists in the market. You can look at https://savvycal.com/ but it won't be free. Source: almost 2 years ago
Oh and savvycal.com to manage the booked calls & meetings reminders. Source: almost 2 years 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
Cal.com - Cal.com (formerly Calendso) is the open source Calendly alternative.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
TidyCal - Optimize your schedule with custom booking pages and calendar integrations
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.