Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders

This paper/repo presents an unsupervised approach that enables a user to convert the input speech of a person to an output set...

List of Global Artificial Intelligence / Machine Learning Conferences in 2020

Below is a list of upcoming Artificial Intelligence/ Machine Learning Conferences in 2020. CONFERENCE NAMECOUNTRYCONFERENCE DATESWEBSITESGlobal AI ConferenceUSAJanuary 21-23,...

Lyft open-sources ‘Flyte’ tool for managing machine learning workflows

Just after Uber open-sourced its debugging tool 'Manifold', Lyft open sources its debugging tool 'Flyte' for managing machine learning workflows. Lyft...

Uber Open-Sourced ‘Manifold’: A Visual Debugging Tool for Machine Learning

Uber recently open-sourced its model-agnostic visual debugging tool 'Manifold' for machine learning models. The objective of this tool is to...

MIScnn: A Python Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep...

The increased need for automatic medical image segmentation has been created due to the enormous usage of modern medical imaging in technology....

Fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Fairseq(-py) is a sequence modeling toolkit written in Python and developed at Facebook's AI Research. This toolkit allows AI researchers and developers to...

‘Cortex’: An open source platform for deploying machine learning models as production web...

If you are looking for a tool to deploy machine learning models as production web services, then ‘Cortex’ could be a good option to...

Deepinsight : User-Friendly Deep Learning Tool to Decode Neural Activity in an Automated Way

DeepInsight is a deep learning-based decoding framework for discovering and characterizing the neural correlates of behavior and stimuli in unprocessed neural data....

Classifying the Name Nationality of a Person using LSTM and Pytorch

Recurrent Neural Networks(RNN) are a type of Neural Network where the output from the previous step is fed as input to the current step. In the case of Convolution Neural Networks (CNN), the output from the softmax layer in the context of image classification is entirely independent of the previous input image.

AI-Powered Digital Asset Management (DAM)—What It Is and How It Works

They say that content is king. However, it’s the kind of king you want to control and use as an asset in...