neural-tangents / neural-tangents
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
☆15Updated 5 years ago
Alternatives and similar repositories for neural-tangents
Users that are interested in neural-tangents are comparing it to the libraries listed below
Sorting:
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 2 months ago
- ☆61Updated 2 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- ☆26Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 4 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆23Updated 6 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 5 years ago
- NTK reading group☆88Updated 5 years ago
- ☆11Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago