Based on our record, PyTorch should be more popular than MobaXterm. It has been mentiond 133 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.
If you don't already have MobaXterm installed, download and install it from the official MobaXterm website. - Source: dev.to / 11 months ago
> I don't know a single techie person who uses Windows (other than for gaming) I'd say that Windows actually has some nice software, like MobaXTerm: https://mobaxterm.mobatek.net/ which in my eyes is better than Remmina or pretty much anything I've found on nix, short of just running the same thing on Wine. WinSCP is also pretty cool, albeit nothing particularly special: https://winscp.net/eng/index.php PowerToys... - Source: Hacker News / about 1 year ago
For working with remote machines that I need to ssh into I've found mobaXTerm[1] to be a very useful terminal emulator. It has an optional remote monitoring feature that shows the usual stats as a small bar under the active terminal window. It's a windows only application though. [1] https://mobaxterm.mobatek.net/. - Source: Hacker News / over 1 year ago
There are various SSH clients available for Windows (PuTTY, Solar-PuTTY, MobaXterm, Termius, etc) but if you use Windows versions older than 10, the installation of PuTTY is suggested. Source: over 1 year ago
Everything - find files by name fast (using the ntfs journal, so strange this is not in windows itself) SpaceMonger old free version - show visually what takes the most space on the HD MobaXterm not outdated - the best SSH terminal. Source: over 1 year 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 / 9 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 / 22 days 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 / about 1 month 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 / 3 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 / 3 months ago
PuTTY - Popular free terminal application. Mostly used as an SSH client.
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.
ConEmu - ConEmu-Maximus5 is a full-featured local terminal for Windows devs, admins and users. Get better console window with tabs, splits, Quake style, copy+paste, DosBox and PuTTY integration, and much more.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
KiTTY - KiTTY is a fork from version 0.70 of PuTTY. It adds extra features to PuTTY.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.