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☆147Updated last year
- Limitations of the Empirical Fisher Approximation☆47Updated 4 months ago
- hessian in pytorch☆187Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆107Updated last year
- ☆157Updated 3 years ago
- ☆36Updated 3 years ago
- ☆100Updated 3 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated 2 years ago
- Optimization with orthogonal constraints and on general manifolds☆129Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- ☆169Updated 11 months ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated last year
- Hypergradient descent☆149Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 7 months ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 3 weeks ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- ☆123Updated last year
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Structured matrices for compressing neural networks☆67Updated last year