chijames / GST
☆19Updated 2 years ago
Alternatives and similar repositories for GST:
Users that are interested in GST are comparing it to the libraries listed below
- ☆10Updated 3 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆142Updated last year
- ☆67Updated 5 months ago
- ☆66Updated 6 years ago
- ☆58Updated 2 years ago
- Official implementation of Transformer Neural Processes☆76Updated 2 years ago
- Discrete Normalizing Flows implemented in PyTorch☆112Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 2 months ago
- ☆122Updated 11 months ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- ☆23Updated 3 years ago
- ☆157Updated 2 years ago
- Monotone operator equilibrium networks☆52Updated 4 years ago
- A Pytorch implementation of the KWNG estimator☆14Updated 9 months ago
- ☆17Updated 11 months ago
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆32Updated 3 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- ☆29Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 9 months ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 6 years ago
- Structured matrices for compressing neural networks☆66Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- paper lists and information on mean-field theory of deep learning☆74Updated 6 years ago