hiranumn Goto Github PK
Name: Naozumi (Nao) Hiranuma
Type: User
Company: Vilya Inc.
Bio: DIrector of ML at Vilya Inc. A PhD from Allen School of University of Washington. I like implementing deep-learning models.
Location: Seattle WA
Name: Naozumi (Nao) Hiranuma
Type: User
Company: Vilya Inc.
Bio: DIrector of ML at Vilya Inc. A PhD from Allen School of University of Washington. I like implementing deep-learning models.
Location: Seattle WA
A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
Sample deep-learning notebooks for presentation given at BakerLab @ UW
Deep learning framework to predict TF binding from DNA-sequence and ATAC-seq signals.
Estimates backbone quality based on C beta (or C alpha) distance maps.
Demonstration of back-propagation for the undergrad ML class that I TAed [Archived]
Utility files for analyzing ChIP-Seq data.
Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.
Python/TF1 implementation of DeepAccNet (https://www.biorxiv.org/content/10.1101/2020.07.17.209643v1)
Repository for the code for DeepATAC project presented at WCB workshop in ICML2017
Personal experiments and implementation examples of deep learning papers.
Class project for EE595. Predicting TF binding events with deep-learning
Implementation of graph convolution layers
A Julia interface for gzip functions in zlib
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Tensorflow implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks". It explains connections between two tensors.
A simple bam file reader for Julia 5.0
A simple VCF file parser for Julia 3.0
[09/01/2014~12/15/2014] The goal of this project is to classify the gene expression data of leukemia patients into multiple subtypes.
Tensorflow/Python implementation of local accuracy predictor for proteins
Metadata for registered Julia packages.
My undergrad research project. See https://bitbucket.org/hiranumn/neatxcode_2 for the original repo
My undergrad research project. Github copy of https://bitbucket.org/hiranumn/neatxcode.
phylogenetic comps repository (originally from my assembla)
Code for the Pure-seq project
An easy interface to extract data from pdbs using the rosetta framework
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.