hhuang2018's Stars
davenza/PyBNesian
PyBNesian is a Python package that implements Bayesian networks.
introdeeplearning/book
Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"
zcgzcgzcg1/MRC_book_en
aburkov/theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
hhuang2018/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
Pierian-Data/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
IBMDeveloperUK/Data-Science-Lunch-and-Learn
Resources for weekly Data Science Lunch & Learns
rstudio/cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
claimed-framework/component-library
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
drabastomek/learningPySpark
Code base for the Learning PySpark book (in preparation)
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
crazyhottommy/getting-started-with-genomics-tools-and-resources
Unix, R and python tools for genomics and data science
EpistasisLab/scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
EpistasisLab/rebate-benchmark
A centralized repository to benchmark ReBATE performance across a variety of parameter settings and datasets.
h2oai/h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
ropensci/rsnps
Wrapper to a number of SNP web APIs
privefl/bigsnpr
R package for the analysis of massive SNP arrays.
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
EpistasisLab/scikit-mdr
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
statgen/locuszoom
A Javascript/d3 embeddable plugin for interactively visualizing statistical genetic data from customizable sources.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
StoreyLab/terastructure
TeraStructure is a new algorithm to fit Bayesian models of genetic variation in human populations on tera-sample-sized data sets (10^12 observed genotypes, i.e., 1M individuals at 1M SNPs). This package provides a scalable, multi-threaded C++ implementation that can be run on a single computer.
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
qlai/stochasticLDA
Python implementation of Stochastic Variational Inference for LDA
blei-lab/onlineldavb
Online variational Bayes for latent Dirichlet allocation (LDA)
JuliaLang/julia
The Julia Programming Language
deruncie/GridLMM
GridLMM package
jupyter-incubator/sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics