jinglingli / nn-extrapolateLinks
☆13Updated 2 years ago
Alternatives and similar repositories for nn-extrapolate
Users that are interested in nn-extrapolate are comparing it to the libraries listed below
Sorting:
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆42Updated 3 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆130Updated 5 years ago
- A Random Matrix Approach to Extreme Learning Machine☆15Updated 7 years ago
- ☆15Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 3 years ago
- ☆44Updated 5 years ago
- ☆65Updated last year
- ☆12Updated 4 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- ☆50Updated last year
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 7 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆27Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆36Updated 5 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆51Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 6 years ago