Coresets

Dot access dictionary with dynamic hierarchy creation and ordered iteration

Learning conditional optimal transport maps

TorchCFM: a Conditional Flow Matching library

Deep Batch Active Learning for Regression

Methods for efficiently and accurately fitting deep models on public phenotype data.

A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

Variational search distributions

Contextual Bandit Spectral Representation Learner

Modeling complex perturbations with CellFlow

Single-cell disease relevance score (scDRS)

WebAssembly modules for genomics

Gene Set Enrichment Analysis in Python

jam 2 tiny desks

Some preliminary explorations of Mamba's context scaling.

Bayesian Optimization and Design of Experiments

Test genes for Spatial Variation

A game theoretic approach to explain the output of any machine learning model.

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Numpy group_by and set-operations

A napari plugin to process and analyse images with chatGPT!

Genotype-Neighborhood Associations: A tool for identifying genetic variant associations to the abundance of cell states in single-cell datasets

Single-cell biological network inference using a heterogeneous graph transformer

Python and R SOMA APIs using TileDB’s cloud-native format. Ideal for single-cell data at any scale.

Simulate bulk CRISPR screen, sorting or proliferation, with and reproter/target edits

Machine Learning Engineering Open Book

gnn explainer

GraphXAI: Resource to support the development and evaluation of GNN explainers

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…