Author: Shengxuan Wang
From: Oregon State University
Building Machine Learning model from Scratch, without using any ML package. Only use data processing package, e.g. Pandas and Numpy, and a package I made: Popanda (see the detail here: https://github.com/shawn120/Popanda_Enhance_of_Pandas) Then using some data set to test them.
Models include Linear Regression, Logistic Regression, Perceptron, and Decision Tree.
TensorHive is an open source tool for managing computing resources used by multiple users across distributed hosts. It focuses on granting
Advanced-Machine-Learning This repository contains the code for the project Real
Prophet: Automatic Forecasting Procedure Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends ar
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural ne
ZenBytes Join our Slack Community and become part of the ZenML family Give the main ZenML repo a GitHub star to show your love ZenBytes is a series of
pyUpSet A pure-python implementation of the UpSet suite of visualisation methods by Lex, Gehlenborg et al. Contents Purpose How to install How it work
dsnk-distributions package dsnk distribution is a Python module for data science and machine learning that was created with the goal of reducing calcu
Nixtla Nixtla is an open-source time series forecasting library. We are helping data scientists and developers to have access to open source state-of-
Description FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library ext
Clustering Clustering Application in Python Using scikit-learn This repository contains the prediction of baseball metric clusters using MLB Statcast
📺 ML YouTube Courses At DAIR.AI we ❤️ open education. We are excited to share some of the best and most recent machine learning courses available on
Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)
Predicting job salaries from ads - a Kaggle competition
adaptive Adaptive: parallel active learning of mathematical functions. adaptive is an open-source Python library designed to make adaptive parallel fu
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API.
Model Search Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers sp
Project_Bonds Project Title : Price forecasting of SGB and IRFC Bonds and comparing there returns. Introduction of the Project The 2008-09 global fina
pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se
tslearn The machine learning toolkit for time series analysis in Python Section Description Installation Installing the dependencies and tslearn Getti
🤖 ⚡ scikit-learn tips New tips are posted on LinkedIn, Twitter, and Facebook. 👉 Sign up to receive 2 video tips by email every week! 👈 List of all
131 Dec 12, 2022
1 Jan 30, 2022
15.4k Jan 07, 2023
1.6k Jan 01, 2023
127 Dec 27, 2022
288 Jan 04, 2023
1 Nov 23, 2021
401 Jan 08, 2023
2k Dec 28, 2022
2 Apr 18, 2022
9.6k Jan 01, 2023
141 Dec 27, 2022
57 Oct 23, 2020
741 Dec 27, 2022
7.4k Jan 04, 2023
1 Dec 13, 2021
1 Oct 28, 2021
1.3k Dec 22, 2022
2.3k Dec 29, 2022
1.6k Jan 03, 2023