a command line tool that aids in protein preparation by assigning various protonation and rotamer states of unassigned amino-acids of the given structure and outputs all the models that are energet…

Code repo for ICLR 24 BlogPost titled "Building Diffusion Model's theory from ground up"

A napari plugin to process and analyse images with chatGPT!

Multimodal data alignment and cell type analysis with coupled autoencoders.

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽‍💻

Single cell RNA sequencing analysis course

A collection of design patterns/idioms in Python

Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)

Examples of how to create colorful, annotated equations in Latex using Tikz.

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.

Feature selection in neural networks

Notebooks used in scvi-tools tutorials

Feature selection for deep learning models.

A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.

Official repo for the #tidytuesday project

Formalizing and benchmarking open problems in single-cell genomics

Pre-lab exercises for STAT 220 labs at the University of St Thomas

Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".

Single Cell Iterative Point set Registration (SCIPR) to align scRNA-seq data

Supporting data and benchmarking software for our SCIPR paper. (Under Construction)

Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)

Deep Canonical Correlation Analysis implemented with tensorflow