Since the academic year 2016-2017, students undertaking their dissertation on Machine Learning, deep learning, etc., are using
with the PyTorch, fast.ai,
libraries, or Torch for R.
The efficiency of the running of Python programs is substantially improved by calling
them within a Julia program.
Some statistical procedures are using Octave, a matrix oriented
programming language for numerical computing, the syntax of which is
similar to Matlab, up to some changes in the syntax of a few functions.
programming language is still the most powerful language. Valgrind is a useful tool for memory leak debugging,
is a free/open-source library for nonlinear optimization, callable from C,
C++, Fortran, Python, Julia,
Octave, and Matlab programs.
the Berkeley Open Infrastructure for Network Computing, is an open-source software for volunteer and grid computing.
BOINC projects are covering several fields: physics, astronomy,
mathematics, biology, artificial intelligence, cryptography, computer science, etc. If your project is computationally very
intensive, and intellectually attractive, you can transform it into a BOINC project.