
GitKraken
SourceTree
GitHub Desktop
SmartGit
Tower
Fork
TortoiseGit
Git Extensions
TFlearn
Keras
Clarifai
DeepPy
Microsoft Cognitive Toolkit (Formerly CNTK)
Merlin
Knet
Swift Brain
GitKraken
TFlearnBased on our record, GitKraken should be more popular than TFlearn. It has been mentiond 4 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.
I'll have to try this out. I'm currently a huge GitKraken[1] fan. [1] https://gitkraken.com. - Source: Hacker News / over 1 year ago
The Git CLI is terrifying and awful. It's far too easy to clobber your own work -- and that of others -- when the whole point of it was to prevent that. While you still need to really deeply understand several git concepts to use it, GitKraken[0] is the best GUI tool I've used in daily practice. It integrates well with git hosts and has an attractive and mostly comprehensible interface. Accordingly, it isn't free... - Source: Hacker News / over 3 years ago
I like GitKraken partially because it was originally loosely based on the look/feel of Guitar Hero. Source: over 4 years ago
This experience was also invaluable because I had a walking fountain of knowledge sitting next to me and was really cool about answering my questions and pointing out all code style errors in countless PR reviews. I cannot count the amount of times he had to explain me the whole rebase workflow. What really helped me improve my Git knowledge was GitKraken and other similar tools. - Source: dev.to / over 4 years ago
TFLearn โ Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 4 years ago
Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBIโs, and walkโs are all taken into account and passed through layers. Thereโs no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / over 5 years ago
SourceTree - Mac and Windows client for Mercurial and Git.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
Clarifai - The World's AI
SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...
DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.