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The Top 23 Pytorch Hessian Open Source Projects

Open source projects categorized as Pytorch Hessian
Pytorch A2c Ppo Acktr Gail ⭐ 3,450
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).
most recent commit 2 years ago
Bayesian Neural Networks ⭐ 1,633
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
most recent commit 6 months ago
Awesome Pytorch List Cnversion ⭐ 1,426
Awesome-pytorch-list 翻译工作进行中......
most recent commit 3 years ago
Functorch ⭐ 1,369
functorch is JAX-like composable function transforms for PyTorch.
dependent packages 12total releases 7most recent commit 17 days agopypi functorch} Downloads
Pyhessian ⭐ 600
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
total releases 2most recent commit 3 months ago
Swa_gaussian ⭐ 393
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
most recent commit 10 months ago
Hawq ⭐ 324
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
most recent commit a year ago
Pytorch Hessian Eigenthings ⭐ 235
Efficient PyTorch Hessian eigendecomposition tools!
most recent commit 3 years ago
Affnet ⭐ 209
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
most recent commit 2 years ago
Hessian_penalty ⭐ 188
Code for the Hessian Penalty: A Weak Prior for Unsupervised Disentanglement (ECCV 2020 Spotlight)
most recent commit 3 years ago
Path_explain ⭐ 134
A repository for explaining feature attributions and feature interactions in deep neural networks.
total releases 7most recent commit 2 years ago
Psgd_torch ⭐ 86
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
most recent commit 3 months ago
Ada Hessian ⭐ 46
Easy-to-use AdaHessian optimizer (PyTorch)
most recent commit 3 years ago
Pytorch Hessianfree ⭐ 16
PyTorch implementation of Hessian Free optimisation
most recent commit 4 years ago
Hesaff Pytorch ⭐ 16
PyTorch implementation of Hessian-Affine local feature detector
most recent commit 6 years ago
Autograd Lib ⭐ 14
most recent commit 4 years ago
Pytorchpruner ⭐ 11
most recent commit 6 years ago
Sotorch ⭐ 9
Auxiliary second-order optimization tools compatible with PyTorch.
most recent commit 3 years ago
Curvlinops ⭐ 9
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
total releases 2most recent commit 3 months ago
Analyze_ada_hessian ⭐ 9
Analyze AdaHessian optimizer on 2D functions.
most recent commit 3 years ago
Hessianfree ⭐ 7
On the New method of Hessian-free second-order optimization
most recent commit 4 years ago
Statistics_model ⭐ 5
统计学系模型实现
most recent commit 6 years ago
Hbp ⭐ 5
Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
most recent commit 4 years ago
The 4 Latest Releases In Pytorch Hessian Open Source Projects
Curvlinops ⭐ 9
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
total releases 2latest release February 19, 2023most recent commit 3 months ago
Functorch ⭐ 1,369
functorch is JAX-like composable function transforms for PyTorch.
dependent packages 12total releases 7latest release July 05, 2022most recent commit 17 days agopypi functorch} Downloads
Pyhessian ⭐ 600
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
total releases 2latest release April 24, 2021most recent commit 3 months ago
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