numerical optimization in pytorch

A Python module to train simple multi-layer perceptron neural networks using Levenberg-Marquardt training

梯度下降与Levenberg-Marquardt算法的比较。Comparison of gradient descent and Levenberg–Marquardt algorithm. Сравнение алгоритма градиентного спуска и алгоритма Левенберга-Марквардта.

Calculate Camera Intrinsic and Extrinsic parameters using Zhang's Algorithm

Tight-binding parameter fitting package (TBFIT) for Slater-Koster method

A MATLAB project to predict wind speed on the basis of temperature

collection of numerical optimization methods

Second order optimization with automatic differentiation

Levenberg-Marquardt Method is studied for finding the model parameters.

Hybrid protocol FedLM-PSO that combines Particle Swarm Optimization (PSO) and Levenberg Marquardt (LM) to train MLP models in a Federated Learning environment

Projects for Zhejiang University Applied Mathematics for Computer Science (1), implement some ML algorithms.

DQuickLTFit - A least-square fitting tool for the analysis of positron lifetime spectra using the Levenberg-Marquardt algorithm

Implementation of a automatic Camera Calibration routine to find out intrinsic and extrinsic parameters with radial distortion

Implementation of trainlm in Matlab that uses the Levenberg_Marquardt backpropagation for training neural networks.

Implementation of a two-layer perceptron (from scratch) with four back-propagation methods in Python

Implementing levenberg-marquardt algorithm from scratch without using any machine learning library

1st year master project: Projection of a 10-dimentional dataset into 2 or 3 dimentions using the Levenberg–Marquardt optimization algorithm, which was implemented.

Documentación del trabajo de investigación de Tesis de Maestría - Luis Felipe Guevara Gómez

A project on understanding the performance of various different backpropagation optimization techniques in neural networks.

options black-schole calc mode