numerical optimization in pytorch
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Updated
Jan 4, 2024 - Python
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.
Tight-binding parameter fitting package (TBFIT) for Slater-Koster method
Calculate Camera Intrinsic and Extrinsic parameters using Zhang's Algorithm
collection of numerical optimization methods
A MATLAB project to predict wind speed on the basis of temperature
DQuickLTFit - A least-square fitting tool for the analysis of positron lifetime spectra using the Levenberg-Marquardt algorithm
Second order optimization with automatic differentiation
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.
Levenberg-Marquardt Method is studied for finding the model parameters.
Implementation of a automatic Camera Calibration routine to find out intrinsic and extrinsic parameters with radial distortion
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
1st year master project: Projection of a 10-dimentional dataset into 2 or 3 dimentions using the Levenberg–Marquardt optimization algorithm, which was implemented.
Graph optimization using g2o!
options black-schole calc mode
Applying three different model approaches to an incuabtion data-set
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