Stars
Fast and accurate molecular docking with an AI pose scoring function
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This package contains deep learning models and related scripts for RoseTTAFold
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675
Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
An implementation of Performer, a linear attention-based transformer, in Pytorch
A bunch of shell utilities for dealing the silent files
Graph Neural Network Library for PyTorch
Python/TF1 implementation of DeepAccNet (https://www.biorxiv.org/content/10.1101/2020.07.17.209643v1)
Implementation of graph convolution layers
An easy interface to extract data from pdbs using the rosetta framework
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Lime: Explaining the predictions of any machine learning classifier
Implementation of the AIControl paper in Julia 1.0
DeepProfile framework, which learns a variational autoencoder (VAE) network from a vast quantity of publicly available gene expression samples and uses the learned network to encode a low-dimension…
Sample deep-learning notebooks for presentation given at BakerLab @ UW
Progress meter for long-running computations
Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
AQUAS TF and histone ChIP-seq pipeline
Examples of using GridLSTM (and GridRNN in general) in tensorflow
Largest tick market data for Bitcoin (mirror server of bitcoincharts.com).