Showing 21-40 of 99 projects
Interactive data analysis tool with machine learning, visualization, and decision tree capabilities
This repository provides interview preparation resources for AI and machine learning developers.
Visual/CSS regression testing with PhantomJS, a powerful tool for UI testing and validation.
This GitHub repository contains code samples and examples for the Machine Learning with TensorFlow book, covering a wide range of machine learning topics.
A collection of basic machine learning algorithm implementations in Python for educational purposes.
A comprehensive TensorFlow tutorial covering a wide range of machine learning topics for AI-focused developers.
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
Scalable neural forecasting algorithms for time-series data, with support for various deep learning models.
A Jest matcher for visual regression testing of images, commonly used for visual comparison testing.
A Python library for portfolio optimization and quantitative strategic asset allocation.
Math.NET Numerics is a high-performance, open-source numerical library for .NET, C# and F#.
Alink is a machine learning algorithm platform built on Apache Flink, developed by Alibaba's PAI team.
A Jupyter Notebook-based resource covering the essentials of probability and statistics, relevant for machine learning.
A comprehensive JavaScript statistics library for both Node.js and the browser.
Modularized implementation of deep reinforcement learning algorithms in PyTorch for researchers and developers.
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
A comprehensive library for hand pose estimation and tracking, useful for human-computer interaction projects.
A library that redefines the regression task of DETRs as a fine-grained distribution refinement problem, with potential applications in object detection.
A Python library for survival analysis, useful for developers working with time-to-event data.
A curated collection of research papers on decision, classification and regression trees with implementations.
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