A Python software package for saddle point optimization and minimization of atomic systems.
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Oct 15, 2024 - Python
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saddle-point
Here are 12 public repositories matching this topic...
A CVXPY extension for saddle problems
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Oct 1, 2024 - Python
Implementation of approximate free-energy minimization in PyTorch
deep-learning transformers pytorch artificial-intelligence neural-networks boltzmann-machines free-energy attention-mechanism statistical-physics ising-spin-models partition-functions steepest-descent saddle-point hopfield-networks spin-models
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Oct 16, 2021 - Python
A Matlab/Octave package for oscillatory integration
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Nov 18, 2024 - MATLAB
This repository contains my project assignments for the graduate-level course: BITS F441 - Robotics, under Dr B K Raut. I passed the course with the highest possible grade.
inverse-kinematics robotics-simulation pybullet robotstudio saddle-point articulated-body-algorithm irc-1410 abb-robotstudio articulated-arm-simulation
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Jun 14, 2021 - Jupyter Notebook
A consensus-based optimization methods for saddle point problems (CBO-SP)
machine-learning optimization numerical-analysis nash-equilibria saddle-point derivative-free-optimization consensus-optimization
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May 30, 2023 - MATLAB
Solvers for Stokes-type equations and saddle-point problems for scientific machine learning (SciML)
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Nov 30, 2020 - Julia
For learning, visualizing and understanding the optimization techniques and algorithms.
visualization optimization machine-learning-algorithms sgd deep-learning-algorithms gradient-descent optimization-algorithms convex-optimization mini-batch-gradient-descent saddle-point
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Jun 9, 2022 - Jupyter Notebook
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May 18, 2020 - Python
a simple example to find saddle point by NEB
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May 24, 2022 - Python
Code for NeurIPS 2024 paper "Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?"
deep-neural-networks deep-learning gradient-descent backpropagation predictive-coding local-learning saddle-point loss-landscape vanishing-gradient inference-learning
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Dec 13, 2024 - Jupyter Notebook
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