Get started with a tutorial on Google Colab:
To cite this repository:
@software{jaxbo2020github,
author = {Paris Perdikaris},
title = {{JAX-BO}: A Bayesian optimization library in {JAX}},
url = {https://github.com/PredictiveIntelligenceLab/JAX-BO},
version = {0.2},
year = {2020},
}
Medical Data for Machine Learning This is a curated list of medical data for machine learning. This list is provided for informational purposes only,
Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and t
π lazycluster Distributed machine learning made simple. Use your preferred distributed ML framework like a lazy engineer. Getting Started β’ Highlight
AutoTabular AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just
KXY: A Seemless API to 10x The Productivity of Machine Learning Engineers Documentation https://www.kxy.ai/reference/ Installation From PyPi: pip inst
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
Citing fastFM The library fastFM is an academic project. The time and resources spent developing fastFM are therefore justified by the number of citat
Scikit-Garden or skgarden (pronounced as skarden) is a garden for Scikit-Learn compatible decision trees and forests.
Machine Learning Study νΌμ ν΄λ³΄κΈ° κΈ°μ¬μ (Contributors) β¨ Teddy Lee π HongJaeKwon π Seungwoo Han π Tae Heon Kim π Steve Kwon π SW Song π K1A2 π Wooil
Decision-Threshold-ML Tutorial for improve skills: 'Decision Threshold In Machine Learning' (from GeeksforGeeks) by Marcus Mariano For more informatio
Elephas: Distributed Deep Learning with Keras & Spark Elephas is an extension of Keras, which allows you to run distributed deep learning models at sc
Knock Knock A small library to get a notification when your training is complete or when it crashes during the process with two additional lines of co
ARM This jupyter notebook project was completed by me and my friend using the dataset from Kaggle. The world Happiness 2017, which ranks 155 countries
Anomaly-detection-Feature-Selection Evaluate on three different ML model for feature selection using Breast cancer data. ML models: SVM, KNN and MLP.
Banpei Banpei is a Python package of the anomaly detection. Anomaly detection is a technique used to identify unusual patterns that do not conform to
PyTASER PyTASER is a Python (3.9+) library and set of command-line tools for classifying spectral features in bulk materials, post-DFT. The goal of th
pymc-learn: Practical Probabilistic Machine Learning in Python Contents: Github repo What is pymc-learn? Quick Install Quick Start Index What is pymc-
The kalman filter framework described here is an incredibly powerful tool for any optimization problem, but particularly for visual odometry, sensor fusion localization or SLAM.
The Emergence of Individuality
WAGMA-SGD is a decentralized asynchronous SGD based on wait-avoiding group model averaging. The synchronization is relaxed by making the collectives externally-triggerable, namely, a collective can b
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