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
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
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
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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Oct 11, 2024 - Jupyter Notebook
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