SMLC-NYSBC / TARGET-VAE
Source code for "Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE," in pytorch. NeurIPS 2022
☆17Updated last year
Related projects: ⓘ
- ☆19Updated last week
- Cryo-EM micrograph segmentation through deep learning☆19Updated last week
- Amortized inference for ab initio heterogeneous cryo-EM reconstruction☆32Updated last year
- Reliable estimation of membrane curvature for cryo-electron tomography☆16Updated last year
- ☆42Updated 10 months ago
- The programs for preprocessing cryo-EM density maps for machine learning☆21Updated 3 weeks ago
- De novo analysis for cryo-electron tomography☆19Updated 5 months ago
- Masked Autoencoder Guided Segmentation at Pixel Resolution☆15Updated 11 months ago
- SHAPR - An AI approach to predict 3D cell shapes from 2D microscopic images☆13Updated last year
- ☆24Updated 3 years ago
- ☆18Updated last month
- Sparse Fourier Backpropagation in Cryo-EM Reconstruction☆11Updated 9 months ago
- ☆15Updated 2 years ago
- Rapidly simulate realistic cryo-EM particles☆13Updated last year
- repository of notebooks for cryoEM☆12Updated 4 years ago
- ☆16Updated 9 months ago
- This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019☆35Updated 5 years ago
- ☆10Updated 3 months ago
- A collaborative knowledge sharing platform for the cryo-ET community☆20Updated last month
- A curated list of awesome computational cryo-EM methods.