thegregyang / NNspectraLinks
Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
☆47Updated 5 years ago
Alternatives and similar repositories for NNspectra
Users that are interested in NNspectra are comparing it to the libraries listed below
Sorting:
- Autoregressive Energy Machines☆78Updated 2 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆45Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- ☆54Updated last year
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 6 months ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated last year
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- ☆67Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 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, …☆112Updated 6 years ago
- ☆50Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago