A collection of research papers on decision, classification and regression trees with implementations. - benedekrozemberczki/awesome-decision-tree-papers

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Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the…

A Stanford-led research team has slashed battery testing times – key to developing faster-charging EV batteries.

With a market projected to reach $80 billion by 2025, a pair critical inventorship issues must be addressed before the technology becomes more commonplace

Lecture by Vivienne Sze in January 2020, part of the MIT Deep Learning Lecture Series.

Website: https://deeplearning.mit.edu
Slides: http://bit.ly/2Rm7Gi1
Playlist: http://bit.ly/deep-learning-playlist

LECTURE LINKS:
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PhD Studentship on Artificial Intelligence for Railway Operations and Management , University of Leeds, University of Leeds

Ben Horowitz resoundingly falls in the category of "needing no introduction": a highly successful entrepreneur who navigated a perilous situation with his business (Loudcloud, which became Opsware) to a $1.65B acquisition by HP, he's also the founder of premier…

Twenty-three years after he lost to Deep Blue, Kasparov says people need to work with machines. You have to “nudge the flock of intelligent algorithms.”

This figure was adapted from a similar image published in DistilBERT. Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of…

In this video we work on the first part of making an AI that can answer questions. We use DistilBERT, transformer based NLP model pretrained on the Stanford SQUAD dataset to answer questions. In part 1 we load the model and use it to make answer predictions.…

TensorFlow Reinforcement Learning. Contribute to google-deepmind/trfl development by creating an account on GitHub.

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019 - lrjconan/GRAN