rgrosse / csc2541_examplesLinks
☆30Updated 4 years ago
Alternatives and similar repositories for csc2541_examples
Users that are interested in csc2541_examples are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆149Updated 2 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 9 months ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- ☆36Updated 4 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- ☆100Updated 4 years ago
- ☆172Updated last year
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆68Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆157Updated 3 years ago
- A Machine Learning workflow for Slurm.☆151Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Distributed K-FAC preconditioner for PyTorch☆93Updated this week
- ☆54Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 5 years ago
- Regularization, Neural Network Training Dynamics☆14Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago