Parallel and Stochastic optimization of Conditional Random Field for optical character recognition (OCR)
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Updated
Jul 4, 2018 - TeX
Parallel and Stochastic optimization of Conditional Random Field for optical character recognition (OCR)
Implementation of numerical optimization algorithms for logistic regression problem.
Perform open-loop optimization with high-order timestepping based on Hermite interpolation to find optimal control pulses for implementing quantum gates.
Utility for molecular mechanics energy minimization with OpenMP support
Sentiplus - Classificatore per individuare il sentimento dei tweet
An accompany to https://github.com/V-Sense/DeepNormals
Shared library builder for L-BFGS-B Nonlinear Optimization Code
(Python, FORTRAN) Minimization of non-smooth functions subject to bound constraints
Here I upload my ML test scripts written in MATLAB or Python
Adversarial Attacks on Image data
CUDA implementation of the LBFGS (Limited Memory Broyden–Fletcher–Goldfarb–Shanno) optimizer with optimizations for sparse problems.
Radio interferometric calibration with PyTorch. An example of how to solve a general optimization problem.
Broyden-Fletcher-Goldfarb-Shanno optimization from the MALLET toolkit
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
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