lixilinx / psgd_tf
Tensorflow implementation of preconditioned stochastic gradient descent
☆34Updated last year
Alternatives and similar repositories for psgd_tf:
Users that are interested in psgd_tf are comparing it to the libraries listed below
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆41Updated 5 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- ☆38Updated 6 years ago
- Stochastic Deep Networks☆17Updated 5 years ago
- ☆34Updated 5 years ago
- ☆32Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago
- L4: Practical loss-based stepsize adaptation for PyTorch☆18Updated 3 years ago
- ☆15Updated 8 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 5 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- ☆40Updated 5 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 6 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 5 years ago