brain-research / mean-field-cnnsLinks
☆34Updated 6 years ago
Alternatives and similar repositories for mean-field-cnns
Users that are interested in mean-field-cnns are comparing it to the libraries listed below
Sorting:
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- An implementation of shampoo☆78Updated 7 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆58Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆63Updated 4 years ago
- The Singular Values of Convolutional Layers☆72Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆46Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- ☆34Updated 7 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- ☆61Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆136Updated this week
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- ☆27Updated 7 years ago
- ☆32Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 6 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated 2 years ago
- Second-order optimiser for deep networks☆76Updated 7 years ago
- Analyzing deviation from orthogonality in RNNs☆16Updated 8 years ago