The README has a bunch of examples of things you might search for and the results you’d get back. (“The Transamerica Pyramid”, anyone?)
The author also has another related project where you can search Unsplash in like manner.
You may recall spaCy from this episode of Practical AI with its creators. If not, now’s a great time to introduce yourself to the project. 3.0 looks like a fantastic new release of the wildly popular NLP library. The list of new and improved things is too long for me to reproduce here, so go check it out for yourself.
A formalization and continuation of this old Quora question about the most important research papers which all NLP students “should definitely read”.
If you say… “Hey, computer, play me some music” and then it starts playing you some music, there’s a number of things that have to have happened for that to come true.
Congrats to Clément and the Hugging Face team on this milestone!
The company first built a mobile app that let you chat with an artificial BFF, a sort of chatbot for bored teenagers. More recently, the startup released an open-source library for natural language processing applications. And that library has been massively successful.
The library mentioned is called Transformers, which is dubbed as ‘state-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.’
If any of these things ring a bell to you, it may be because Practical AI co-host Daniel Whitenack has been a huge supporter of Hugging Face for a long time and mentions them often on the show. We even had Clément on the show back in March of this year.
The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in NLP algorithms, neural architectures, and distributed machine learning systems. The content is based on our past and potential future engagements with customers as well as collaboration with partners, researchers, and the open source community.
A little ingenuity paired with changes to ReCaptcha’s audio challenge allowed this hacker to create a Python ‘robot’ that defeats the ‘not a robot’ test with 90% accuracy. The approach is brilliant:
- Navigate to Google’s ReCaptcha Demo site
- Navigate to audio challenge for ReCaptcha
- Download audio challenge
- Submit audio challenge to Speech To Text
- Parse response and type answer
- Press submit and check if successful
The code is small enough to grok in 5-10 minutes. Love it!
Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
Multilingual and built on PyTorch.
Tobias Macey, on why this particular episode of Podcast.__init__ is worth a listen:
Tools for natural language processing are often limited in the number of human languages that they support. This was an interesting discussion on some of the work being done to make it easier to analyse text in multiple languages.
CV Compiler is an online resume analysis tool designed exclusively for software engineers.
The review technology scans for keywords from the world of programming and how they are used in the resume, relative to the best practices in the industry.