cybertronai / autograd-libLinks
☆33Updated 5 years ago
Alternatives and similar repositories for autograd-lib
Users that are interested in autograd-lib are comparing it to the libraries listed below
Sorting:
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆146Updated last year
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- ☆157Updated 3 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Code for the paper: "Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss" (Chizat and Bac…☆7Updated 5 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- ☆36Updated 3 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Monotone operator equilibrium networks☆52Updated 5 years ago
- ☆99Updated 3 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- ☆26Updated 6 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 4 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- NTK reading group☆87Updated 5 years ago
- ☆123Updated last year
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- hessian in pytorch☆187Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆29Updated 4 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago