nicklarson6

dmcp

A CVXPY extension for multi-convex programming

subsampled_cubic_regularization

Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933

selfies

Robust representation of semantically constrained graphs, in particular for molecules in chemistry

ChemGE

Population-based De Novo Molecule Generation, Using Grammatical Evolution

nmr-respredict-examples

crow-max-and-m4l

Max + M4L for crow (monome/whimsical raps)

max-devkit

Tools, documentation, and reference implementation of a Max Package built using the Max-API.

BEAP

BEAP Modular. Berklee Electro Acoustic Pedagogy

prosody

a modular collection of effects & controls based in max for live.

monome_grainfields_m4l-v1.1

8 voice granular synthesizer for monome 128 grids (Max for Live edition)

ekphras

digital tape loop / softcut m4l wrapper

crow

Crow speaks and listens and remembers bits of text. A scriptable USB-CV-II machine

Bela

Bela: core code, IDE and lots of fun!

awesome-musicdsp

A curated list of my favourite music DSP and audio programming resources

nmigen

A refreshed Python toolbox for building complex digital hardware. See https://gitlab.com/nmigen/nmigen

SOUL

The SOUL programming language and API

hydrogen

:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

vadam

Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

PyTorch-LBFGS

A PyTorch implementation of L-BFGS.

PyLaTeX

A Python library for creating LaTeX files

lmfit-py

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

SdLBFGS

Cornell-MOE

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

pyomo

An object-oriented algebraic modeling language in Python for structured optimization problems.

autograd

Efficiently computes derivatives of numpy code.

ncvx

cvxpy

A Python-embedded modeling language for convex optimization problems.

mystic

constrained nonlinear optimization for scientific machine learning, UQ, and AI