Repository for Protein-Vec, a protein embedding mixture of experts model

Foldseek enables fast and sensitive comparisons of large structure sets.

snakemake pipeline for creating trees from sequence sets

Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral

Code and files related to random side projects

Deep learning meets molecular dynamics.

Code accompanying the paper "Discriminative Clustering with Representation Learning for any Ratio of Labeled to Unlabeled Data"

A library for optimization on Riemannian manifolds

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.

Frank Wolfe for Deep Learning

Point2Skeleton: Learning Skeletal Representations from Point Clouds (CVPR2021)

Differentiable Optimizers with Perturbations in Pytorch

Official repository for "Orthogonal Projection Loss" (ICCV'21)

A python library for performing inference on datasets with shuffled / unordered labels

Robust Regression Without Correspondences

Code base for the paper "Product Manifold Learning."

code for deep learning courses

Deep network that performs spectral clustering

Matlab demo code for "MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval"

MeshWalker implementation

Multi-relational Poincaré Graph Embeddings

This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"

Implementation of Layer and Activations not currently available in the Matlab Deep Learning Toolbox

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

Spectral Hashing

zero-shot-gcn in pytorch