Changelog

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. CV Compiler was built using Python with libraries NLTK and spaCy for tokenization, lemmatization, and POS-tagging. The internal analysis engine for large datasets (resumes, job descriptions) was built upon a Seq2Seq model in TensorFlow.

read more

Finish him!

read more

The strong advantage of TensorFlow is it flexibility in designing highly modular models which can also be a disadvantage for beginners since a lot of the pieces must be considered together when creating the model. If you’re interested in TensorFlow, but haven’t dove in yet for one reason or another, this might be a good place to start.

read more

Abhishek Singh isn’t deaf or mute, but that didn’t stop him from asking the question: If voice is the future of computing interfaces, what about those who cannot hear or speak? This thought led to a super cool project wherein a computer interprets sign language and speaks the results to a nearby Alexa device. Live demo here and code here.

read more

A reimplementation of TensorFlow for Ruby. This is a ground up implementation with no dependency on TensorFlow. Effort has been made to make the programming style as near to TensorFlow as possible, comes with a pure Ruby evaluator by default with support for an opencl evaluator for large models and datasets.

read more

a pure Python implementation of a neural-network based Go AI, using TensorFlow This is not trying to be the top Go AI program. They want to build a readable, understandable implementation that can benefit the community.

read more