Topic: gradient-method Goto Github
Some thing interesting about gradient-method
Some thing interesting about gradient-method
gradient-method,Implementation of unconstrained and constrained convex optimization algorithms in Python, focusing on solving data science problems such as semi-supervised learning and Support Vector Machines.
User: camilobetanieto
gradient-method,An easy implementation of the Stochastic / Batch gradient descent and comparison with the standard Gradient Descent Method
User: eskinderit
gradient-method,Optimisation and algorithm project. I) L1, L2, and L2^2 regularisers in optimal trajectory synthesis; II) Logistic data classification; III) Gradient methods.
User: leonardopedroso
gradient-method,Gradient method, Newton method, Euler and Heun method, discrete Fourier transform and Monte Carlo simulation in C++
User: linuslinusdev
gradient-method,WWW'24, Mirror Gradient (MG) makes multimodal recommendation models approach flat local minima easier compared to models with normal training.
Organization: qrange-group
Home Page: https://arxiv.org/abs/2402.11262
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