Here are
30 public repositories
matching this topic...
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Updated
May 29, 2022
Python
Robotics Toolbox for Python
Updated
Jul 1, 2024
Python
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Updated
May 15, 2023
Python
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Updated
Feb 27, 2023
Python
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Updated
Jun 14, 2022
Python
Easy-to-use AdaHessian optimizer (PyTorch)
Updated
Nov 12, 2020
Python
Updated
Jan 19, 2022
Python
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
Updated
Jul 3, 2024
Python
PyTorch implementation of Hessian-Affine local feature detector
Updated
Nov 22, 2017
Python
Jax implementation of the AdaHessian optimizer
Updated
Mar 11, 2021
Python
Updated
May 27, 2018
Python
TensorFlow implementations of losses for sequence to sequence machine learning models
Updated
Jun 22, 2024
Python
Implementation of Numerical Analysis algorithms/methods in Python
Updated
Oct 4, 2023
Python
Particle Metropolis-Hastings using gradient and Hessian information
Updated
Nov 29, 2017
Python
Official code for the paper "Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent"
Updated
Jun 27, 2024
Python
Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
Updated
Nov 13, 2022
Python
Measuring generalization properties of graph neural networks
Updated
Jun 13, 2023
Python
Full loss Hessian spectrum approximation tool.
Updated
Oct 9, 2019
Python
A python3 script computing bond and valence angle force constants using the Seminario (projected hessian) method.
Updated
May 18, 2023
Python
Generic derivative objects (gradients, Jacobians, Hessians, and more) by finite differences
Updated
Mar 9, 2022
Python
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