Facebook AI Open-Sources Graph Transformer Networks (GTN) For Automatic Differentiation With Graphs

Graph Transformer Networks (GTN) is an open-source framework with weighted finite-state transducers (WFSTs), a powerful and expressive type of graph. GTN, just...

LALE: A Python Library Simplifying Automated Machine Learning

Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task...

tsBNgen, a Python Library to Generate Synthetic Data From an Arbitrary Bayesian Network.

When we think of machine learning, the first step is to acquire and train a large dataset. However, many times the data...

List of Data Science and Machine Learning GitHub Repositories to Try in 2019

Here is the list of selected Data Science and Machine Learning GitHub Repositories to Try in 2019 Paper with...

14 Great Articles To Read About TensorFlow

First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For...

Do We Still Need Traditional Pattern Recognition and Signal Processing in the Age of...

Deep learning is one of the most successful methods that we have seen in computer science in the last couple of years. Results indicate...

AI Neural Network Types can change Business Power, Services and Tools

The nature of business tools are changing, and it's all thanks to neural network technology. AI neural networks are designed after the human brain,...

Top Deep Learning Papers

Here is the list of top deep learning papers prepared by our staff. 1. Deep Learning, by Yann L., Yoshua B. & Geoffrey H. (2015) Deep...
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