doing audio digital signal processing in tensorflow to try to recreate digital audio effects
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Updated
Dec 6, 2022 - Python
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning
Fitting dose-response models in R
Nonlinear regression in Julia
one day introduction to generalized nonlinear models using the gnm and logmult R packages
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
Robust Gaussian Process with Iterative Trimming
GMPE-estimation implements a one-stage estimation algorithm to estimate ground-motion prediction equations (GMPE) with spatial correlation. It also quantifies the uncertainty of spatial correlation and intensity measure predictions.
Assignments for the Machine Learning bachelor course @USI22/23
Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
Robust Regression for arbitrary non-linear functions
Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.
Nonlinear Regression based on scikit-learn.
Neural nets for high accuracy multivariable nonlinear regression and classification.
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
Nonlinear Regression for Agricultural Applications
{gslnls}: GSL multi-start nonlinear least-squares fitting in R
An R package for seed germination assays
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