mcneela / SobolevLinks
Implementation of DeepMind's "Sobolev Training for Neural Networks"
☆11Updated 7 years ago
Alternatives and similar repositories for Sobolev
Users that are interested in Sobolev are comparing it to the libraries listed below
Sorting:
- Visualizing the the loss landscape of Fully-Connected Neural Networks☆45Updated 2 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- Structured matrices for compressing neural networks☆66Updated last year
- ☆21Updated 3 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 10 months ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆78Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆49Updated last year
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- ☆99Updated 3 years ago
- ☆33Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆146Updated last year
- Spectral Tensor Train Parameterization of Deep Learning Layers☆15Updated 3 years ago
- ☆15Updated 5 years ago
- ☆101Updated 4 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆88Updated 2 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆78Updated 11 months ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19Updated 6 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 3 years ago
- ☆47Updated 5 years ago
- CUDA kernels for generalized matrix-multiplication in PyTorch☆83Updated 3 years ago
- paper lists and information on mean-field theory of deep learning☆76Updated 6 years ago
- ☆15Updated 6 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago