Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Pytorch A2c Ppo Acktr Gail | 3,450 | 2 years ago | 82 | mit | Python | |||||
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). | ||||||||||
Bayesian Neural Networks | 1,633 | 6 months ago | 5 | mit | Jupyter Notebook | |||||
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more | ||||||||||
Awesome Pytorch List Cnversion | 1,426 | 3 years ago | Jupyter Notebook | |||||||
Awesome-pytorch-list 翻译工作进行中...... | ||||||||||
Functorch | 1,369 | 12 | 14 days ago | 7 | July 05, 2022 | 247 | bsd-3-clause | Jupyter Notebook | ||
functorch is JAX-like composable function transforms for PyTorch. | ||||||||||
Pyhessian | 600 | 3 months ago | 2 | April 24, 2021 | 13 | mit | Jupyter Notebook | |||
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks | ||||||||||
Swa_gaussian | 393 | 10 months ago | 10 | bsd-2-clause | Jupyter Notebook | |||||
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning" | ||||||||||
Hawq | 324 | a year ago | 24 | mit | Python | |||||
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM. | ||||||||||
Pytorch Hessian Eigenthings | 235 | 3 years ago | 7 | mit | Python | |||||
Efficient PyTorch Hessian eigendecomposition tools! | ||||||||||
Affnet | 209 | 2 years ago | 3 | mit | Python | |||||
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability" | ||||||||||
Hessian_penalty | 188 | 3 years ago | 2 | bsd-2-clause | Python | |||||
Code for the Hessian Penalty: A Weak Prior for Unsupervised Disentanglement (ECCV 2020 Spotlight) |