⚡️ 🧬 Fulgor is a fast and space-efficient colored de Bruijn graph index.

CUDA on non-NVIDIA GPUs

Fast, Cache-Efficient, and Scalable Queries on Pangenomes

Consistency Distilled Diff VAE

Implementation of GateLoop Transformer in Pytorch and Jax

Simple exact-matching algorithm to standardise drug names appearing on the DrugBank open-access repository

Fast and compact locality-preserving minimal perfect hashing for k-mer sets.

Official Code Repository for the paper "Graph Ordering Attention Networks"

Markonv: a novel convolutional layer for identifying inter-positional correlations effectively and efficiently This is the repository for reproducing figures and tables in the paper.

Code for CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways

Robust fine-tuning of zero-shot models

ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.

using all the bits for echt rapid variant annotation and filtering

A framework which is capable of mapping rigid and non-rigid scenes and localize camera in the environment at the same time

Pipelines for expressive code on collections in C++

A library for network {reconstruction, distances, dynamics}

Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset

Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.

Direct voxel grid optimization for fast radiance field reconstruction.

Plenoxels: Radiance Fields without Neural Networks

AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.

A fast and robust point cloud registration library

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

Network Anomaly Detection Using Probabilistic Data Structures

A thin rust wrapper around libhmmer

Clair3 - Symphonizing pileup and full-alignment for deep learning-based long-read variant calling