Scheduling a meeting shouldn’t require endless rounds of email tag just to find a time that works for all your stakeholders. (“Next month is a no-go, too. Should we try for 3 p.m. CT next year?”)
It’s hard enough to find work-life balance when you’re manually coordinating across time zones and merging details from your work and personal calendars.
You need a stress-free way to manage meetings across all your calendars.
Based on our record, PyTorch seems to be a lot more popular than TidyCal. While we know about 133 links to PyTorch, we've tracked only 1 mention of TidyCal. 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.
We use https://tidycal.com/ because you get a lifetime deal when you buy it and you can sync your calendar with it, so if you or your partners are already booked, it will not allow someone to book during that timeslot. Source: over 2 years ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 28 days ago
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 1 month ago
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
Cal.com - Cal.com (formerly Calendso) is the open source Calendly alternative.
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.
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.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
SavvyCal - A scheduling tool both the sender and the recipient will love.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.