Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data

Performant Pythonic GenomicRanges

DEMINING: a stepwise computational framework to directly detect expressed DNA and RNA mutations in RNA deep sequencing data (DEMINING).

Pytorch implementation of convolutional neural network visualization techniques

A library for creating complex UpSet plots with ggplot2 geoms

cuML - RAPIDS Machine Learning Library

A generative model for programmable protein design

Nature Methods: RNA foundation model (together with RhoFold)

Awesome-LLM: a curated list of Large Language Model

Scaling Single Cell Analysis to Millions of Cells

List of papers about Proteins Design using Deep Learning

Joint sequence and structure generation with RoseTTAFold sequence space diffusion

Train transformer language models with reinforcement learning.

A grammar of graphics for comparative genomics

Extension of the `Attention Augmented Convolutional Networks` paper for 1-D convolution operation.

Implementing Attention Augmented Convolutional Networks using Pytorch

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

English SDK for Apache Spark

Multiple Fill, Color and Other Scales in `ggplot2`

A lite implementation of tfmodisco, a motif discovery algorithm for genomics experiments.

experimental interface between R and scvi-tools

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

A Bioconductor package to retrieve and analyze data from the Human Protein Atlas

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Efficient algorithms for designing orthogonal DNA sequence libraries

An experimental and unofficial wrapper for interacting with OpenAI GPT models in R.

A tool to find sequencing data and metadata from public databases.

ExplaiNN: interpretable and transparent neural networks for genomics