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Based on our record, Learn X in Y minutes seems to be a lot more popular than Torch AI. While we know about 149 links to Learn X in Y minutes, we've tracked only 3 mentions of Torch AI. 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.
Here is the url to Torch: http://torch.ch/. Source: about 2 years ago
I think you can use torch7 to do data science things but its development is a bit halted or something like that. It was pretty cool tho, you would have a C-level fast interpreter (LuaJIT) using a nice library. Source: over 3 years ago
It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements. - Source: dev.to / over 3 years ago
I can't fathom it, but if I had to start over today, I'd: - Pick something I want to build - Pick the tools -- whatever's at the top of the latest SlackOverflow survey, though I'm not sure SO matters anymore - Peruse the https://learnxinyminutes.com link for the chosen tools - Use an LLM with good prompting to assist me in making what I decided. I'd use chat and hand type the code from the LLM and try to... - Source: Hacker News / 5 months ago
. HTML Cheat Sheet: Quick reference guide for HTML elements and attributes. . CSS Cheat Sheet: Comprehensive guide to CSS properties and selectors. . JavaScript Cheat Sheet: Handy reference for JavaScript syntax and concepts. . Git Cheat Sheet: Essential commands and workflows for Git. . Markdown Cheat Sheet: Markdown syntax guide for creating rich text formatting. . React Cheat Sheet: Quick overview of React... - Source: dev.to / 11 months ago
This is a small code example to get the basic idea. If you want a bit of a bigger file to play around yourself Or ever want to learn about a new language you can use LearnXinYMinutes which is a great starting point to learn any language you desire. - Source: dev.to / 12 months ago
> Sure, maybe for some esoteric edge cases, but 5 mins on https://learnxinyminutes.com/ should get you 80% of the way there, and an afternoon looking at big projects or guidelines/examples should you another 18% of the way. Not for C++, and even for other languages, it's not the language that's hard, it's the idioms. Python written by experts can be well-nigh incomprehensible (you can save typing out... - Source: Hacker News / about 1 year ago
> Learning a new language shouldn't be difficult. Programmers are expected to familiarize themselves with new tech. I wish any large company agreed with this. I've worked for a company that on boarded every single new engineer to a very niche language (F#) in a few days. Also, everybody I worked with there was amazing. Probably because of that kind of mindset. Meanwhile google tiptoes around teams adopting kotlin... - Source: Hacker News / about 1 year ago
Pylearn2 - Pylearn2 is a library for machine learning research.
Exercism - Download and solve practice problems in over 30 different languages.
Caffe - Caffe is an open source, deep learning framework.
DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more
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.
OverAPI - Largest cheat sheet for programming languages and libraries