This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀 rustmachine-learningnatural-language-processingdeep-learningimage-processingmachine-learning-libraryrust-libraryawasome ...
A curated list of awesome responsible machine learning resources. - jphall663/awesome-machine-learning-interpretability
The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal...
Books CreditsAwesome Machine Learning A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should ...
Add to Favourites Machine Learning/ AI Engineering & Research Internship More, Machine Learning/ AI Engineering & Research Internship Machine Learning Intern - CellularMachine Learning and AI31 Oct 2024 Beijing Add to Favourites Machine Learning Intern - Cellular More, Machine Learning Intern - Cellular...
We used machine learning in two modules, the question classifier (part of the question analyzer) and the answer finder. In the question classifier, we classify the EAT (Expected Answer Type) of a question by using SVM (Support Vector Machine) method. Features for the classification module are...
In this paper, we propose a machine learning-based fast coding unit (CU) depth decision method for High Efficiency Video Coding (HEVC), which optimizes the complexity allocation at CU level with given rate-distortion (RD) cost constraints. First, we analyze quad-tree CU depth decision process...
In simple terms, machine learning algorithms refer to computational techniques that can find a way to connect a set of inputs to a desired set of outputs by learning relevant data. From: Deep Learning Models for Medical Imaging, 2022
[Machine Learning] Machine Learning with IoT Devices on the Edge By James McCaffrey Imagine that,in the not too distant future, you’re the designer of a smart traffic intersection. Your smart intersection has four video cameras connected to an Internet of things (IoT) dev...
My Apache Zeppelin and Jupyter notebooks, and more! For a series of valuable data analysis and machine learning-related stuff in general ML Resources(with an emphasis on Python) This document attempts to develop a curated list of Machine Learning resources, including books, papers, software, libra...