added info to jax

2022-08-27 11:51:24 +02:00
parent d925c29864
commit c033cc0536
7 changed files with 325 additions and 318 deletions
@@ -564,6 +564,7 @@ Here we list several useful Python libraries we strongly recommend (if you use a
 * "Scipy":"https://www.scipy.org/" (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. 
 * "Matplotlib":"https://matplotlib.org/" is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.
 * "Autograd":"https://github.com/HIPS/autograd" can automatically differentiate native Python and Numpy code. It can handle a large subset of Python's features, including loops, ifs, recursion and closures, and it can even take derivatives of derivatives of derivatives
+* "JAX":"https://jax.readthedocs.io/en/latest/index.html" has now more or less replaced _Autograd_. JAX is Autograd and XLA, brought together for high-performance numerical computing and machine learning research. It provides composable transformations of Python+NumPy programs: differentiate, vectorize, parallelize, Just-In-Time compile to GPU/TPU, and more.
 * "SymPy":"https://www.sympy.org/en/index.html" is a Python library for symbolic mathematics. 
 * "scikit-learn":"https://scikit-learn.org/stable/" has simple and efficient tools for machine learning, data mining and data analysis
 * "TensorFlow":"https://www.tensorflow.org/" is a Python library for fast numerical computing created and released by Google