It is very well built with simplicity in mind. There are several themes and all of them look amazing. I love the "typewriter" and "focus" mode. In contrast with other apps that focus the current window and remove all visibility options, Typora goes one step ahead and fades down all other paragraphs as well.
PyTorch might be a bit more popular than Typora. We know about 133 links to it since March 2021 and only 89 links to Typora. 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.
You can also explore tools like Dillinger or Typora to make the experience even smoother. - Source: dev.to / 5 months ago
I love https://typora.io/ and use it daily. - Source: Hacker News / 8 months ago
Some Markdown editors defaults to using a proportional type face for body text. Quite nice! Typora is one of them, there are probably others. https://typora.io/. - Source: Hacker News / 10 months ago
Despite the beautiful myriad of text editors available for macOS, I've still found myself using Typora on my old machine. When I recently (read: ridiculously late) discovered that Brett Terpstra's venerable Marked 2 can be schemed (sortof) with x-marked://, it immediately occurred to me that I could use a custom Typora Export preset to add "integration" between these two apps:. - Source: dev.to / 10 months ago
Another option for distraction-free writing is https://typora.io/. It is GUI and quite small. - Source: Hacker News / 10 months 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 / 29 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
StackEdit - Full-featured, open-source Markdown editor based on PageDown, the Markdown library used by Stack Overflow and the other Stack Exchange sites.
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.
Markdown by DaringFireball - Text-to-HTML conversion tool/syntax for web writers, by John Gruber
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Dillinger - joemccann has 95 repositories available. Follow their code on GitHub.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.