Naozumi (Nao) Hiranuma's repositories
IntegratedGradients
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
DeepAccNet
Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
DeepATACseq
Repository for the code for DeepATAC project presented at WCB workshop in ICML2017
IntegratedGradientsTF
Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between two tensors.
DeepAccNet-TF
Python/TF1 implementation of DeepAccNet (https://www.biorxiv.org/content/10.1101/2020.07.17.209643v1)
LocalAccuracyPredictor
Tensorflow/Python implementation of local accuracy predictor for proteins
BackpropDemonstration
Demonstration of back-propagation for the undergrad ML class that I TAed [Archived]
AminoAcids2BackboneAngles
Sample deep-learning notebooks for presentation given at BakerLab @ UW
BackboneEstimator.py
Estimates backbone quality based on C beta (or C alpha) distance maps.
ChipSeqUtil.jl
Utility files for analyzing ChIP-Seq data.
EE595project
Class project for EE595. Predicting TF binding events with deep-learning
Leukemia_multinomial_classification
[09/01/2014~12/15/2014] The goal of this project is to classify the gene expression data of leukemia patients into multiple subtypes.
METADATA.jl
Metadata for registered Julia packages.
Neat_PredPrey_VisualStudio_ver
My undergrad research project. See https://bitbucket.org/hiranumn/neatxcode_2 for the original repo
Neat_PredPrey_XCode_ver
My undergrad research project. Github copy of https://bitbucket.org/hiranumn/neatxcode.
Phylogenetic_comps
phylogenetic comps repository (originally from my assembla)
PureSeq.jl
Code for the Pure-seq project