True Positive Weekly #37
The most important artificial intelligence and machine learning links of the week
Hey, in this issue: how computationally complex is a single neuron; an introduction to machine learning compilers and optimizers; a Python library for online machine learning; a tutorial on Gaussian processes; textless NLP; a lightweight Python library for AutoML; and more.
How computationally complex is a single biological neuron?
[Tutorial] A friendly introduction to machine learning compilers and optimizers
[Project] baal: a library to enable Bayesian active learning in your research or labeling work
[Project] River: a Python library for online machine learning
[Tutorial] Gaussian processes from scratch
Textless NLP: Generating expressive speech from raw audio (paper, paper, paper, code)
[Project] TensorFlow Similarity: a python package designed to make it easy and fast to train similarity models using TensorFlow
[Project] FLAML: a lightweight Python library that finds accurate machine learning models automatically, efficiently, and economically
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Have a nice weekend! See you next week. — Andriy