smortezavi / Randomized_SVD_GPULinks
Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.
☆17Updated 7 years ago
Alternatives and similar repositories for Randomized_SVD_GPU
Users that are interested in Randomized_SVD_GPU are comparing it to the libraries listed below
Sorting:
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆45Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 5 months ago
- Optimization with orthogonal constraints and on general manifolds☆131Updated 5 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆20Updated 2 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 4 years ago
- ☆47Updated last year
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Hessian trace estimation using PyTorch and Hutch++☆19Updated 4 years ago
- ☆33Updated 5 years ago
- ☆67Updated 6 years ago
- ☆47Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- PyTorch implementation of FIM and empirical FIM☆61Updated 7 years ago
- ☆40Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19Updated 6 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆107Updated 4 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- ☆83Updated 5 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago