More articles in AVbytes

Inverse Reinforcement Learning from Visual Demonstration to Train AI Systems

In this article, learn about Inverse Reinforcement Learning from Visual Demonstration to Train Artificial Intelligence Systems

Self Supervised Learning Models to Predict Early COVID-19 Deterioration by Facebook AI

Facebook AI has developed self supervised learning model that can help doctors predict how a patient’s condition may develop.

IBM Open Sources Comprehensive Python Toolkit for Detecting & Fighting Bias (30 Metrics, 9 Algorithms)

Performing Speech and Object Recognition using just One Model with MIT’s ML System

Researchers at MIT have designed a machine learning model that identifies objects in images using spoken descriptions (audio captions).

Tired of Debugging Code? Facebook’s SapFix Tool Automates the Entire Process

Facebook has announced it will be open sourcing SapFix, a tool that automatically debugs your code so you can focus on what matters to you.

Perform Automated Machine Learning for Free with Microsoft’s Open Source Python Toolkit

Microsoft has open sourced a toolkit for automated machine learning called Neural Network Intelligence (NNI). It works with Python 3.5 or greater.

Google has Open Sourced the Amazing ‘What-If Tool’ to Perform Code-Free Visual ML Experiments

Google AI has announced the launch of the What-If Tool, a visual interface which lets users analyze machine learning models without writing any code!

Rosetta – How Facebook uses Machine Learning to Process Text in Billions of Images

Facebook's researchers have revealed how they use ML to process text from billions of images each day to provide an enriching user experience.

Jupytext lets you use Jupyter Notebooks as Julia, Python and R Scripts or Markdown documents!

Jupytext lets us save and edit Jupyter notebooks as markdown or script. You can even preserve the output in your notebook while editing the script.

MIT Open Sources Computer Vision Model that Teaches Itself Object Detection in 45 Minutes (with GitHub codes)

MIT Researchers have developed a machine learning model that uses computer vision techniques to detect, and pick up objects in under an hour.