Search Results for "grad"

...It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order. What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and TPUs. Compilation happens under the hood by default, with library calls getting just-in-time compiled and executed. But JAX also lets you just-in-time compile your own Python functions into XLA-optimized kernels using a one-function API, jit. ...

galculator is a GTK 2 / GTK 3 based scientific calculator supporting algebraic mode as well as RPN. Features include arithmetic precedence handling, mathematical functions, different number bases (DEC, HEX, BIN, OCT) and angle bases (radiant, degree, and grad). Please note: This project page at sf.net reflects the state of the project up to August 2015. Beginning in September 2015, the project homepage was moved to http://galculator.mnim.org, with the source code repositories and issue trackers hosted at https://github.com/galculator/galculator.