AI tools for MateCat
Related Tools:
EducUp Studio
EducUp Studio is an online platform designed to help educators create engaging and interactive learning experiences for their students. The platform offers a variety of tools and resources that allow teachers to easily design and customize educational content, such as quizzes, presentations, and interactive lessons. EducUp Studio aims to enhance the teaching and learning process by providing a user-friendly interface and a range of features to support educators in creating dynamic and effective educational materials.
Przybysze z Matprzestrzeni
Po 40 latach Pi i Sigma wracają na Ziemię, aby od nowa pomagać ludziom w nauce matematyki.
MateCat
Matecat is an enterprise-level, web-based CAT tool designed to make post-editing and outsourcing easy and to provide a complete set of features to manage and monitor translation projects.
AI-UBB
AI-UBB is a project related to Artificial Intelligence discipline in the second year of the Faculty of Mathematics and Computer Science at Babes-Bolyai University in Cluj-Napoca. The project involves a team of students working on various aspects of AI under the guidance of their professors.
ai_igu
AI-IGU is a GitHub repository focused on Artificial Intelligence (AI) concepts, technology, software development, and algorithm improvement for all ages and professions. It emphasizes the importance of future software for future scientists and the increasing need for software developers in the industry. The repository covers various topics related to AI, including machine learning, deep learning, data mining, data science, big data, and more. It provides educational materials, practical examples, and hands-on projects to enhance software development skills and create awareness in the field of AI.
machine-learning-research
The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.