wikaiqi / AMSGradpytorchLinks
Experiments on AMSGrad -- pytorch version
☆12Updated 7 years ago
Alternatives and similar repositories for AMSGradpytorch
Users that are interested in AMSGradpytorch are comparing it to the libraries listed below
Sorting:
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆125Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Reproducible code for Augmentation paper☆17Updated 7 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- ☆111Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆57Updated 2 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆72Updated last year
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Updated last year
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- ☆59Updated 5 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆107Updated 4 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 7 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆82Updated last year
- ☆54Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92Updated last year
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆122Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Updated 6 years ago
- ☆149Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- [NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs☆256Updated last year
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 3 years ago
- ☆28Updated 4 years ago
- ☆13Updated 5 years ago
- Transformers with doubly stochastic attention☆53Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Updated 4 years ago
- ☆37Updated 3 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year