Rishit-dagli / AstroformerLinks
This repository contains the official implementation of Astroformer, an ICLR Workshop 2023 paper.
☆30Updated 2 years ago
Alternatives and similar repositories for Astroformer
Users that are interested in Astroformer are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"☆233Updated 2 years ago
- (NeurIPS 2023) PyTorch implementation of "Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation"☆20Updated last year
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆166Updated 2 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆82Updated 3 years ago
- Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…☆17Updated 3 years ago
- Learning to Estimate Shapley Values with Vision Transformers☆37Updated last year
- Rational Activation Functions - Replacing Padé Activation Units☆102Updated 9 months ago
- An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.☆41Updated 3 years ago
- Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)☆65Updated 3 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- Multimodal contrastive pretraining for astronomical data☆160Updated this week
- Classify the morphologies of distant galaxies☆23Updated 3 years ago
- Differentiable fast wavelet transforms in PyTorch with GPU support.☆399Updated this week
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆146Updated last year
- Estimation of mutual information (MI) distribution with Gaussian mixture models (GMMs)☆23Updated 8 months ago
- Implementation of Tabular Neural Gradient Orthogonalization and Specialization (TANGOS). A regularizer for neural networks described in o…☆19Updated 2 years ago
- A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.☆102Updated 3 years ago
- Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words☆71Updated last year
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆349Updated 2 years ago
- Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"☆13Updated last year
- Awesome Domain Adaptation Python Toolbox☆360Updated 2 weeks ago
- A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thin…☆57Updated 3 years ago
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆111Updated 8 months ago
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆33Updated 5 months ago
- Code associated with the work presented at ICLR and ICML 2022 workshops☆22Updated 3 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆106Updated 2 years ago
- ☆23Updated 9 months ago
- Neural Diffusion Processes☆80Updated last year
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆90Updated last year
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆44Updated last year