hiranumn
DIrector of ML at Vilya Inc. A PhD from Allen School of University of Washington. I like implementing deep-learning models.
Vilya Inc.Seattle WA
Pinned Repositories
ATAC_peak
Deep learning framework to predict TF binding from DNA-sequence and ATAC-seq signals.
DeepAccNet
Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
DeepAccNet-TF
Python/TF1 implementation of DeepAccNet (https://www.biorxiv.org/content/10.1101/2020.07.17.209643v1)
DeepATACseq
Repository for the code for DeepATAC project presented at WCB workshop in ICML2017
DLmodels
Personal experiments and implementation examples of deep learning papers.
IntegratedGradients
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
IntegratedGradientsTF
Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between two tensors.
jlVCF
A simple VCF file parser for Julia 3.0
LocalAccuracyPredictor
Tensorflow/Python implementation of local accuracy predictor for proteins
AIControl.jl
Implementation of the AIControl paper in Julia 1.0
hiranumn's Repositories
hiranumn/IntegratedGradients
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
hiranumn/DeepAccNet
Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
hiranumn/DeepATACseq
Repository for the code for DeepATAC project presented at WCB workshop in ICML2017
hiranumn/IntegratedGradientsTF
Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between two tensors.
hiranumn/DLmodels
Personal experiments and implementation examples of deep learning papers.
hiranumn/DeepAccNet-TF
Python/TF1 implementation of DeepAccNet (https://www.biorxiv.org/content/10.1101/2020.07.17.209643v1)
hiranumn/ATAC_peak
Deep learning framework to predict TF binding from DNA-sequence and ATAC-seq signals.
hiranumn/LocalAccuracyPredictor
Tensorflow/Python implementation of local accuracy predictor for proteins
hiranumn/BackpropDemonstration
Demonstration of back-propagation for the undergrad ML class that I TAed [Archived]
hiranumn/jlVCF
A simple VCF file parser for Julia 3.0
hiranumn/PyProtein
An easy interface to extract data from pdbs using the rosetta framework
hiranumn/AminoAcids2BackboneAngles
Sample deep-learning notebooks for presentation given at BakerLab @ UW
hiranumn/BackboneEstimator.py
Estimates backbone quality based on C beta (or C alpha) distance maps.
hiranumn/ChipSeqUtil.jl
Utility files for analyzing ChIP-Seq data.
hiranumn/GraphConv
Implementation of graph convolution layers
hiranumn/jlBAM
A simple bam file reader for Julia 5.0
hiranumn/3D-IWGAN
A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
hiranumn/DeepAccNet-MSA
hiranumn/EE595project
Class project for EE595. Predicting TF binding events with deep-learning
hiranumn/GZip.jl
A Julia interface for gzip functions in zlib
hiranumn/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.
hiranumn/METADATA.jl
Metadata for registered Julia packages.
hiranumn/Neat_PredPrey_VisualStudio_ver
My undergrad research project. See https://bitbucket.org/hiranumn/neatxcode_2 for the original repo
hiranumn/Neat_PredPrey_XCode_ver
My undergrad research project. Github copy of https://bitbucket.org/hiranumn/neatxcode.
hiranumn/Phylogenetic_comps
phylogenetic comps repository (originally from my assembla)
hiranumn/PixelCNN
hiranumn/PureSeq.jl
Code for the Pure-seq project