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 ...
After reading the book, you’ll be ready to discuss all kinds of topics related to machine learning, including supervised and unsupervised learning, the most popular machine learning algorithms, and what it takes to build and fine-tune a model. Math, intuition, and illustrations, all in just ...
It's written in C programming language and comes with Python programming language bindings. cONNXr - An ONNX runtime written in pure C (99) with zero dependencies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. ...
Neural Networks Misc 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 liste...
machine learning (ML) has demonstrated its transformative potential in concrete research. Given the rapid adoption of ML for concrete mixture design, there is a need to understand methodological limitations and formulate best practices in this emerging computational field. Here, we review the areas in...
machine learning (ML) has demonstrated its transformative potential in concrete research. Given the rapid adoption of ML for concrete mixture design, there is a need to understand methodological limitations and formulate best practices in this emerging computational field. Here, we review the areas in...
A 'Machine Learning Technique' is a method used in Computer Science to assist in distinguishing between different types of motor disorders, such as Multiple System Atrophy (MSA), by utilizing algorithms that enable computers to learn from and make predictions based on data. ...
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...
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...
Deep Learning for Human Language ProcessingNational Taiwan UniversityHung-yi Lee[Homepage][YouTube]Deep Learning, NLP Books Tixier A J P. Notes on Deep Learning for NLP[J]. arXiv preprint arXiv:1808.09772, 2018.[Link] Releases No releases published...