msuzen / bristol Goto Github PK
View Code? Open in Web Editor NEWParallel random matrix tools and complexity for deep learning
License: GNU General Public License v3.0
Parallel random matrix tools and complexity for deep learning
License: GNU General Public License v3.0
add cPSE measure
Detailed doc
directory using sphyx with implementation details.
moving to static type hint:
https://docs.python.org/3/library/typing.html
Introduce density argument for KL/TM metric
Introduce mean, variance in matrix generation.
Introduce random number generation utils for circular ensembles. Possibly merge with #13
Circular module needs unit tests.
Use docstring
compatible structure, such as the following taken from scipy
:
def angle(z, deg=0):
"""
Return the angle of the complex argument.
Parameters
----------
z : array_like
A complex number or sequence of complex numbers.
deg : bool, optional
Return angle in degrees if True, radians if False (default).
Returns
-------
angle : ndarray or scalar
The counterclockwise angle from the positive real axis on
the complex plane, with dtype as numpy.float64.
See Also
--------
arctan2
absolute
Examples
--------
>>> np.angle([1.0, 1.0j, 1+1j]) # in radians
array([ 0. , 1.57079633, 0.78539816])
>>> np.angle(1+1j, deg=True) # in degrees
45.0
"""
if deg:
fact = 180/pi
else:
fact = 1.0
Some unit tests might be logically wrong
Along with internal representation
Drop author names within code as contributors covers this.
Gaussian orthogonal ensemble (GOE), Gaussian unitary ensemble (GUE) and Gaussian symplectic ensemble (GSE)
As defined in
Equivalence in Deep Neural Networks via Conjugate Matrix Ensembles and
notebook
Example data set generation module, for example see code here. Note that this is older code, so Circular
module name capitalized.
Given generated matrix, visualise in colour mode:
color
/bw
historgram
Store the object. Preferable use matplotlib
.
Referbish.
introduce ergodicitiy module, using functions from the notebook.
CI is broken as travis org is ceased to exist.
Parallel random matrix tools and complexity for deep learning. Drop other clutter from the description.
As defined in
Equivalence in Deep Neural Networks via Conjugate Matrix Ensembles and
notebook
Close and Join the child processes.
Introduce MANIFEST.in
include README.md
include LICENSE.txt
Introduce cPSE in PyTorch monitor during training epochs.
When computing COE, and CSE, provide an option to use already existing CUE.
Update python notebook after gen_module
as ergodicity related methods moved to ergodicity
module.
Eigenvalues can be generated in parallel but not single matrices.
state dict can be used to produce cPSE.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.