PyTorch – Tensor computation with strong GPU acceleration

The #1 NLP repo on Github and the author of the most popular NLP course is moving from PyTorch to Tensorflow 2.0&#x2F;Keras<p><a href="https:&#x2F;&#x2F;twitter.com&#x2F;GokuMohandas&#x2F;status&#x2F;1174497967232782336" rel="nofollow">https:&#x2F;&#x2F;twitter.com&#x2F;GokuMohandas&#x2F;status&#x2F;1174497967232782336</a><p>&gt;<i>We’ll still use @PyTorch but more for research lessons, I’ll post more on this decision soon! I did deliberate for several weeks on this though but ultimately it sped up development and decreased overhead for the practical lessons by a lot.</i>

<a href="https:&#x2F;&#x2F;github.com&#x2F;blue-season&#x2F;pywarm" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;blue-season&#x2F;pywarm</a> PyWarm is a lightweight, high-level neural network construction API for PyTorch. It enables defining all parts of NNs in the functional way.

The framework which put my trust back into frameworks. Very good!

Apart from the official tutorials what are the best resources out there for learning PyTorch?

This is really old, it came out in 2016.<p>Why did you reshare it ?