AlexanderMath / fasthLinks
Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
☆75Updated 10 months ago
Alternatives and similar repositories for fasth
Users that are interested in fasth are comparing it to the libraries listed below
Sorting:
- Efficient Householder Transformation in PyTorch☆65Updated 3 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- ☆68Updated 2 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- ☆30Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆146Updated last year
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- ☆47Updated 5 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 3 years ago
- ☆36Updated 3 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
- ☆64Updated last year
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 10 months ago
- ☆53Updated 10 months ago
- Structured matrices for compressing neural networks☆66Updated last year
- Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression…☆97Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆42Updated 6 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 4 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 4 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆56Updated 5 years ago