Stars
The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
StarDist - Object Detection with Star-convex Shapes
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Fast symbolic computation, code generation, and nonlinear optimization for robotics
For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Core Interface and Engine for Vivarium
A highly efficient implementation of Gaussian Processes in PyTorch
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
scPerturb: A resource and a python/R tool for single-cell perturbation data
CineVN: Variational network reconstruction for rapid functional cardiac cine MRI
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Learning Single-Cell Perturbation Responses using Neural Optimal Transport
SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
Code for "Stable Deep MRI Reconstruction using Generative Priors" (https://ieeexplore.ieee.org/document/10237244)
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)