Naozumi Hiranuma (@hiranumn)
github

hiranumn

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Top repositories

1

IntegratedGradients

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Jupyter Notebook
215
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2

DeepAccNet

Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
Python
73
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3

DeepATACseq

Repository for the code for DeepATAC project presented at WCB workshop in ICML2017
Jupyter Notebook
21
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4

IntegratedGradientsTF

Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between two tensors.
Jupyter Notebook
16
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5

DLmodels

Personal experiments and implementation examples of deep learning papers.
Jupyter Notebook
11
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6

DeepAccNet-TF

Python/TF1 implementation of DeepAccNet (https://www.biorxiv.org/content/10.1101/2020.07.17.209643v1)
Python
10
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7

ATAC_peak

Deep learning framework to predict TF binding from DNA-sequence and ATAC-seq signals.
Jupyter Notebook
6
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8

LocalAccuracyPredictor

Tensorflow/Python implementation of local accuracy predictor for proteins
Jupyter Notebook
5
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9

BackpropDemonstration

Demonstration of back-propagation for the undergrad ML class that I TAed [Archived]
Python
3
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10

PyProtein

An easy interface to extract data from pdbs using the rosetta framework
Python
3
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11

jlVCF

A simple VCF file parser for Julia 3.0
Julia
3
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12

GraphConv

Implementation of graph convolution layers
Jupyter Notebook
1
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13

ChipSeqUtil.jl

Utility files for analyzing ChIP-Seq data.
Julia
1
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14

jlBAM

A simple bam file reader for Julia 5.0
Julia
1
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15

BackboneEstimator.py

Estimates backbone quality based on C beta (or C alpha) distance maps.
Jupyter Notebook
1
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16

AminoAcids2BackboneAngles

Sample deep-learning notebooks for presentation given at BakerLab @ UW
Jupyter Notebook
1
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