TensorFlow for Python is dying?
While PyTorch is obviously the future in the short term, it will be interesting to see how this space evolves.<p>Before Tensorflow, people (myself included) were largely coding all of this stuff pretty manually, or with the zoo of incredibly clucky homemade libs.<p>Tensorflow and PyTorch made the whole situation far more accessible and sane. You can get a basic neural network working in a few lines of code. Magical.<p>But it's still early days. George Hotz, author of tinygrad[0], a PyTorch "competitor", made a really insightful comment -- we will look back on PyTorch & friends like we look back on FORTRAN and COBOL. Yes, they were far better than what came before. But they are really clunky compared to what we have today.<p>What will we have in 20 years?<p>[0] <a href="https://github.com/geohot/tinygrad">https://github.com/geohot/tinygrad</a>, <a href="https://tinygrad.org" rel="nofollow">https://tinygrad.org</a>