PyTorch-LBFGS is a modular implementation of L-BFGS, a popular quasi-Newton method, for PyTorch that is compatible with many recent algorithmic advancements for improving and stabilizing stochastic quasi-Newton methods and addresses many of the deficiencies with the existing PyTorch L-BFGS ...
PyTorch-LBFGS is a modular implementation of L-BFGS, a popular quasi-Newton method, for PyTorch that is compatible with many recent algorithmic advancements for improving and stabilizing stochastic quasi-Newton methods and addresses many of the deficiencies with the existing PyTorch L-BFGS ...
Improved LBFGS and LBFGS-B optimizers in PyTorch. deep-learningoptimizationpytorchnonlinear-optimizationlbfgslbfgs-optimizerlbfgs-bkolmogorov-arnold-networks UpdatedNov 4, 2024 Python decile-team/jensen Star50 A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Conve...
DeepXDE在paddle backend下使用L-BFGS优化器出现错误结果感谢您的反馈，可以拉一下DeepXDE最新代码，应该...
DeepXDE在paddle backend下使用L-BFGS优化器出现错误结果感谢您的反馈，可以拉一下DeepXDE最新代码，应该...