
GitKraken
SourceTree
GitHub Desktop
SmartGit
Tower
Fork
TortoiseGit
Git Extensions
Papers with Code
ML5.js
arXiv
Spell
Lobe
ML Showcase
Apple Machine Learning Journal
Amazon Machine Learning
GitKraken
Papers with CodeBased on our record, Papers with Code seems to be a lot more popular than GitKraken. While we know about 100 links to Papers with Code, we've tracked only 4 mentions of GitKraken. 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
Benchmark Primary focus Evaluation metrics System coverage Usability Link HumaneBench AI benchmark Human well being, humane AI principles HumaneScore, flip tests under adversarial instruction, long term well being 15 popular chat models tested across 800 realistic scenarios Designed for chatbot safety research; requires ensemble judging for... - Source: dev.to / 9 months ago
An helpful approach is to browse the state of the art models in paperswithcode. This will give you an idea of the performance of different models on various tasks. - Source: dev.to / almost 2 years ago
I think a way around this would some sort of voting/ popularity system? Papers with code (https://paperswithcode.com/) does this via Github stars sorting. Sure it doesn't mean something is established. But it at least gives some way to filter through the firehose of papers. Love this project btw! I think it has potential (and the timing is right now that everyone is looking for the next "attention is all... - Source: Hacker News / about 2 years ago
Adapting to Evolving Standards: With the rapid progress in deep learning research and applications, staying current with the latest developments is crucial. The checklist underscores the importance of considering established standard architectures and leveraging current state-of-the-art (SOTA) resources, like paperswithcode.com, to guide project decisions. This dynamic approach ensures that projects benefit from... - Source: dev.to / about 2 years ago
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / over 2 years ago
SourceTree - Mac and Windows client for Mercurial and Git.
ML5.js - Friendly machine learning for the web
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...
Spell - Deep Learning and AI accessible to everyone