devcao Goto Github PK

aenetgt

Adaptive elastic net for group testing

azure-kusto-python

Kusto client libraries for Python

bda_course_aalto

Bayesian Data Analysis course at Aalto

beamermaterialdesign

Theme for Beamer inspired by Google's Material Design

bnn

Forked from CRAN/BNN, interested in the idea behind it ----> Could be extended to LOCOpath

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coordinate_descent_algorithm

course-nlp

A Code-First Introduction to NLP course

d-gex

Deep learning for gene expression inference

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

devcao.github.io

Personal website

ensemble-pytorch

Implementations of scikit-learn like ensemble methods in Pytorch

generalized-partially-linear-single-index-model

Source code for Generalized Partially Linear Single Index Model with Measurement Error, Instruments and Binary Response

glmnet

:exclamation: This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Homepage: https://glmnet.stanford.edu, https://dx.doi.org/10.18637/jss.v033.i01, https://dx.doi.org/10.18637/jss.v039.i05

high-dimensional-inference

source code of LOCO path

image_captioning

A demo of Google's 2014 Image Captioning paper

leave-one-covariate-out-regularized-interpretable-ml-

More interpretable machine learning under the LCCO( leave-one-covariate-out ) framework

leetcode_sql_solutions

leetcode_stepbystep

my own solution for leetcode practice

libcs50

CS50 Library for C

loco_parse

LOCO regularization path in Python

locopath

LOCO regularization path

locopath_repo

All project code for the LOCO path high dimensional inference, including glm (logistic + poisson) and gaussian graphical models

ml-x-cpp

My own implementation of most ml algorithm using C++

modalregression

ncvreg

Regularization paths for SCAD- and MCP-penalized regression models

nlp_practice

nyc_cabfare_prediction

Wide and Deep Learning for NYC Yellow Cab Data

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

power-curve-functions-and-data

Functions and data for LOCO path project