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Superduper: Integrate AI models and machine learning workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hostin…
Solve puzzles. Improve your pytorch.
Repository for benchmarking graph neural networks
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
Making Protein folding accessible to all!
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Computations and statistics on manifolds with geometric structures.
A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".
https://www.sc-best-practices.org
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
Diffusion models of protein structure; trigonometry and attention are all you need!
a framework for training sequence-level deep learning networks
A PyTorch library for two-sample tests
A mini-library for training consistency models.
User friendly and accurate binder design pipeline
MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
EigenFold: Generative Protein Structure Prediction with Diffusion Models
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Models and datasets for perturbational single-cell omics
scPerturb: A resource and a python/R tool for single-cell perturbation data
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)
Conditional Autoencoders with Adversarial Information Factorization