Tight-binding parameter fitting package (TBFIT) for Slater-Koster method
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Updated
Sep 11, 2022 - Fortran
Tight-binding parameter fitting package (TBFIT) for Slater-Koster method
A Python module to train simple multi-layer perceptron neural networks using Levenberg-Marquardt training
numerical optimization in pytorch
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.
collection of numerical optimization methods
Calculate Camera Intrinsic and Extrinsic parameters using Zhang's Algorithm
Levenberg-Marquardt Method is studied for finding the model parameters.
Second order optimization with automatic differentiation
A MATLAB project to predict wind speed on the basis of temperature
Hybrid protocol FedLM-PSO that combines Particle Swarm Optimization (PSO) and Levenberg Marquardt (LM) to train MLP models in a Federated Learning environment
DQuickLTFit - A least-square fitting tool for the analysis of positron lifetime spectra using the Levenberg-Marquardt algorithm
A project on understanding the performance of various different backpropagation optimization techniques in neural networks.
Projects for Zhejiang University Applied Mathematics for Computer Science (1), implement some ML algorithms.
Final Project for SI152 24Spring in ShanghaiTech
Implementing levenberg-marquardt algorithm from scratch without using any machine learning library
Implementation of a two-layer perceptron (from scratch) with four back-propagation methods in Python
options black-schole calc mode
1st year master project: Projection of a 10-dimentional dataset into 2 or 3 dimentions using the Levenberg–Marquardt optimization algorithm, which was implemented.
Implementation of a automatic Camera Calibration routine to find out intrinsic and extrinsic parameters with radial distortion
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