Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"

A python library for self-supervised learning on images.

Point cloud diffusion for 3D model synthesis

A collaboration friendly studio for NeRFs

Model API for GALACTICA

Code to implement "Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views"

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

An NSF proposal template in LaTeX

A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics

Latex code for making neural networks diagrams

Folder / directory structure options and naming conventions for software projects

Systematic dataset of Covid-19 policy, from Oxford University

Uplift modeling and causal inference with machine learning algorithms

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.