Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

PyTorch implementation of AnimeGANv2

A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

A series of notebooks demonstrating how to build simple NLP web apps with Gradio and Hugging Face transformers

Hyper-parameter optimization for sklearn

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Automated Machine Learning with scikit-learn

Voilà turns Jupyter notebooks into standalone web applications

Tesseract Open Source OCR Engine (main repository)

Positive Synergy Index. Feature selection method for gene expression microarray data. See the provided link to download .mat format of 22 microarry datasets used in this study.

VIP cheatsheets for Stanford's CS 229 Machine Learning

On-line Machine Learning in Go (and so much more)

Machine learning-Stanford University

Reinforcement Learning Specialization on Coursera

Customers using R can run simulation and machine learning securely and at scale with Amazon SageMaker while also reducing the cost of development by using the fully elastic resources in the cloud. …

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

Here are the quiz answers and programming assignments' solutions for the course "Machine Learning" and five specializations in Coursera taught by Mr. Andrew Ng from Stanford University.

Quiz Answers, Assessments, Programming Assignments for the Linear Algebra course.

Python notebooks for SageMaker Studio demo

Classical equations and diagrams in machine learning

Turn your R code into a web API.

My IPython extensions

Examples of how machine learning and deep learning can be applied in practice

Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.

Notes for Beginner Network Pentesting Course

Apache Spark - A unified analytics engine for large-scale data processing

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

The open LMS by Instructure, Inc.