brain-research / mean-field-cnns
☆35Updated 5 years ago
Related projects: ⓘ
- Lua implementation of Entropy-SGD☆79Updated 6 years ago
- This repository is no longer maintained. Check☆82Updated 4 years ago
- Computing various norms/measures on over-parametrized neural networks☆48Updated 5 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆61Updated 3 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- ☆44Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆45Updated 6 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated last year
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- ☆61Updated last year
- An implementation of shampoo☆73Updated 6 years ago
- ☆11Updated 4 years ago
- ☆26Updated 5 years ago
- The Singular Values of Convolutional Layers☆71Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆45Updated 4 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 6 years ago
- Deep learning with a multiplication budget☆47Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Training wide residual networks for deployment using a single bit for each weight☆36Updated 4 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆111Updated 4 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 4 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- ☆32Updated 6 years ago