Stars
A generative model for phenotypic-based drug discovery
CellNavi is a deep learning framework designed to predict genes driving cellular transitions.
A collection of awesome bio-foundation models, including protein, RNA, DNA, gene, single-cell, and so on.
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Listing of papers about machine learning for proteins.
A lightweight ab initio molecular dynamics simulation program
BertViz: Visualize Attention in Transformer Models
Code, unit tests, and tutorials for running PICRUSt2
jaberg / hyperopt
Forked from hyperopt/hyperoptDistributed Asynchronous Hyperparameter Optimization in Python
Must-read papers on graph neural networks (GNN)
An up-to-date list of papers and code relating to progress in the burgeoning field of AI-Drug Discovery
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Examine two sentences and determine whether they have the same meaning.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Resources for Tutorial on "Utilizing Knowledge Graphs in Text-centric Information Retrieval"
Official git repository for Biopython (originally converted from CVS)
A powerful open source data warehouse system
a tool to compare medical procedures costs in geographic location
Collection of Terraform and Ansible scripts for easy AWS operations
VM based deployment for prototyping Big Data tools on Amazon Web Services
Image augmentation for machine learning experiments.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.