Machine-Learning with python (jupyter)

What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin

3k Jan 08, 2023

My capstone project for Udacity's Machine Learning Nanodegree

MLND-Capstone My capstone project for Udacity's Machine Learning Nanodegree Lane Detection with Deep Learning In this project, I use a deep learning-b

407 Dec 12, 2022

Quantum Machine Learning

The Machine Learning package simply contains sample datasets at present. It has some classification algorithms such as QSVM and VQC (Variational Quantum Classifier), where this data can be used for e

364 Jan 08, 2023

LinearRegression2 Tvads and CarSales

LinearRegression2_Tvads_and_CarSales This project infers the insight that how the TV ads for cars and car Sales are being linked with each other. It i

1 Dec 29, 2021

Factorization machines in python

Factorization Machines in Python This is a python implementation of Factorization Machines [1]. This uses stochastic gradient descent with adaptive re

892 Jan 03, 2023

An implementation of Relaxed Linear Adversarial Concept Erasure (RLACE)

Background This repository contains an implementation of Relaxed Linear Adversarial Concept Erasure (RLACE). Given a dataset X of dense representation

4 Apr 13, 2022

MiniTorch - a diy teaching library for machine learning engineers

This repo is the full student code for minitorch. It is designed as a single repo that can be completed part by part following the guide book. It uses

1.1k Jan 07, 2023

This machine learning model was developed for House Prices

This machine learning model was developed for House Prices - Advanced Regression Techniques competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

1 Mar 02, 2022

Simplify stop motion animation with machine learning.

25 Sep 15, 2022

Time Series Prediction with tf.contrib.timeseries

TensorFlow-Time-Series-Examples Additional examples for TensorFlow Time Series(TFTS). Read a Time Series with TFTS From a Numpy Array: See "test_input

476 Nov 17, 2022

This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance.

minvar_invest_portfolio This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing var

1 Jan 06, 2022

Test symmetries with sklearn decision tree models

Test symmetries with sklearn decision tree models Setup Begin from an environment with a recent version of python 3. source setup.sh Leave the enviro

2 Jul 19, 2022

nn-Meter is a novel and efficient system to accurately predict the inference latency of DNN models on diverse edge devices

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

241 Dec 26, 2022

Machine-Learning with python (jupyter)

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Machine-Learning with python (jupyter)

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HyeonWoo Jeong

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

My capstone project for Udacity's Machine Learning Nanodegree

Quantum Machine Learning

LinearRegression2 Tvads and CarSales

Factorization machines in python

An implementation of Relaxed Linear Adversarial Concept Erasure (RLACE)

MiniTorch - a diy teaching library for machine learning engineers

This machine learning model was developed for House Prices

Simplify stop motion animation with machine learning.

Time Series Prediction with tf.contrib.timeseries

This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance.

Test symmetries with sklearn decision tree models

nn-Meter is a novel and efficient system to accurately predict the inference latency of DNN models on diverse edge devices

Library for machine learning stacking generalization.

cleanlab is the data-centric ML ops package for machine learning with noisy labels.

Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

The Simpsons and Machine Learning: What makes an Episode Great?

Anomaly Detection and Correlation library

jaxfg - Factor graph-based nonlinear optimization library for JAX.

whylogs: A Data and Machine Learning Logging Standard