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Based on our record, OverAPI should be more popular than Torch AI. It has been mentiond 11 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.
. 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
OverAPI: OverAPI is a comprehensive hub that collects and curates cheat sheets for developers. It goes beyond just API-related content and serves as a centralized repository for cheat sheets covering a wide array of programming languages. From popular choices like Python, JavaScript, and Ruby to more niche languages, OverAPI has got you covered. - Source: dev.to / about 1 year ago
Content: OverAPI.com is a repository that compiles cheat sheets for various programming languages and technologies, including Python, jQuery, NodeJS, PHP, Java, and more. Benefits: It provides quick references and revision aids for a wide range of programming topics, making it an invaluable resource for programmers. Link: https://overapi.com/. - Source: dev.to / about 1 year ago
A collection of cheat sheets for various programming languages and frameworks. - Source: dev.to / over 1 year ago
Collecting all the cheat sheets : cheat sheets for lots of programming languages. - Source: dev.to / over 2 years ago
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
Devhints - TL;DR for developer documentation
Pylearn2 - Pylearn2 is a library for machine learning research.
DevDocs - Open source API documentation browser with instant fuzzy search, offline mode, keyboard shortcuts, and more
Caffe - Caffe is an open source, deep learning framework.
GitSheet - A dead simple Git cheat sheet.
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.