ymalitsky / adaptive_GDLinks
Adaptive gradient descent without descent
☆48Updated 3 years ago
Alternatives and similar repositories for adaptive_GD
Users that are interested in adaptive_GD are comparing it to the libraries listed below
Sorting:
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- ☆54Updated 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
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- ☆169Updated last year
- ☆67Updated 6 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated last year
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆34Updated 3 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆30Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆144Updated 2 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Optimization with orthogonal constraints and on general manifolds☆129Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.☆25Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- ☆36Updated 4 years ago
- Hypergradient descent☆149Updated last year