Pinned Repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
bds-files
Supplementary files for my book, "Bioinformatics Data Skills"
bigdata-ecosystem
BigData Ecosystem Dataset
clinvar
This repo provides tools to convert ClinVar data into a tab-delimited flat file, and also provides that resulting tab-delimited flat file.
concise
Concise: Keras extension for regulatory genomics
Coursera_Capstone
Capstone Assignments for Coursera Data Science courses
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
hail
Scalable genomic data analysis.
HLAWholeGeneAnalysis
WGS2017
hhuang2018's Repositories
hhuang2018/HLAWholeGeneAnalysis
hhuang2018/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
hhuang2018/hail
Scalable genomic data analysis.
hhuang2018/WGS2017
hhuang2018/clinvar
This repo provides tools to convert ClinVar data into a tab-delimited flat file, and also provides that resulting tab-delimited flat file.
hhuang2018/concise
Concise: Keras extension for regulatory genomics
hhuang2018/Coursera_Capstone
Capstone Assignments for Coursera Data Science courses
hhuang2018/data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
hhuang2018/deep-learning-models
Keras code and weights files for popular deep learning models.
hhuang2018/getting-started-with-genomics-tools-and-resources
Unix, R and python tools for genomics and data science
hhuang2018/github-slideshow
A robot powered training repository :robot:
hhuang2018/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
hhuang2018/hhuang2018.github.io
hhuang2018/IBM-advanced-data-science-specialization-coursera
Advanced Data Science Specialization by IBM
hhuang2018/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
hhuang2018/MRC_book_en
hhuang2018/mwas
Generic code for performing microbiome-wide association studies with a variety of models
hhuang2018/myVCF
myVCF: a web-based platform for target and exome mutations data management
hhuang2018/next-best-action
Prescriptive business process monitoring for recommending next best actions (nba)
hhuang2018/nn-from-scratch
Implementing a Neural Network from Scratch
hhuang2018/ntm-one-shot
One-shot Learning with Memory-Augmented Neural Networks
hhuang2018/pgmpy
Python Library for Probabilistic Graphical Models
hhuang2018/plink-ng
A comprehensive update to the PLINK association analysis toolset. Beta testing of the first new version (1.90), focused on speed and memory efficiency improvements, is finishing up. Future development will revolve around critical extensions to the core file format (multiallelic variants, dosage, phase).
hhuang2018/pyHML
Code for working with HML data in python
hhuang2018/pymc-resources
PyMC educational resources
hhuang2018/simple_search_engine
Practice project using spaCy and scikit-learn
hhuang2018/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
hhuang2018/theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
hhuang2018/WGS2017_R
Whole genome sequence analysis for donor-recipient pairs
hhuang2018/WGS_analysis
Exploratory analysis for donor-recipient whole genome sequences