numerical optimization in pytorch
A Python module to train simple multi-layer perceptron neural networks using Levenberg-Marquardt training
Calculate Camera Intrinsic and Extrinsic parameters using Zhang's Algorithm
Hybrid protocol FedLM-PSO that combines Particle Swarm Optimization (PSO) and Levenberg Marquardt (LM) to train MLP models in a Federated Learning environment
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.
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.
A project on understanding the performance of various different backpropagation optimization techniques in neural networks.
Training neural networks in PyTorch using the Levenberg-Marquardt (LM) algorithm
Final Project for SI152 24Spring in ShanghaiTech
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