artificial intelligence
Projects with this topic
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This AI-powered application assists users in mastering new content by providing personalized guidance based on their learning objectives. Users input their areas of focus, and the application offers tailored support to help them achieve mastery.
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A Tic Tac Toe Unity game with an artificial intelligence that can play perfectly using a MinMax algorithm
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Instance Hardness analysis in Machine Learning
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LLAMI (Lion Launch Analytics Metrics Insights) is a tool for automatic collection, processing, and analysis of rocket launch data. This project provides accurate data and detailed analysis of launches for availability and use by the general public, space enthusiasts, and engineering students. This enables the creation of custom statistics, 3D models, and other educational and research projects.
Note: Our team is continuously improving and expanding the functionalities of LLAMI to offer even more tools and value to our sexy users.
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Your very own Assistant. Because you deserve it.
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Aplicação de chat multimodal que utiliza I.A
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AgriTracka is a comprehensive agricultural monitoring platform that leverages sensor data and machine learning algorithms to predict plant health and provide actionable recommendations to farmers, ultimately enhancing crop yield and sustainability. By integrating hardware sensors, data analytics, and AI-driven insights, AgriTracka empowers farmers to make informed decisions and optimize agricultural practices for improved crop management and productivity.
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Welcome to the "AI_Course_Template" - the basic repository template for students enrolled in the Artificial Intelligence course in the Department of Computer Science for the academic years 2023/2024. This repository is designed to provide a standardized structure and set of guidelines for student projects, facilitating organized development, easy navigation, and consistent documentation.
Key Features:
Structured directory: Includes predefined folders for data (both raw and processed), source code, tests, and documentation, ensuring a clean and organized project workspace.
Comprehensive README Template: A guide to help students effectively document their project overview, goals, installation process, data descriptions, usage instructions, and contribution guidelines.
Resource Hub: Serves as a central location for essential resources, reference materials, and project-specific instructions.
Collaboration Ready: Configured to support collaborative projects, encouraging students to work together efficiently and share their progress.
Purpose:
This template is designed to streamline the project setup process, allowing students to focus more on the innovative aspects of AI and machine learning, rather than the initial setup and organization. By following this template, students will learn the importance of project organization, clear documentation, and consistent coding practices that are essential for any aspiring AI professional.
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Wally is a GitLab assistant powered by ChatGPT, an AI language model developed by OpenAI. With Wally, you can interact with your GitLab project using natural language commands and receive helpful suggestions and feedback from the AI.
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Chat operated frontend intelligence. My front end for an emotionally intelligent llm.
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A library of blog posts and tutorials. Part of the End-to-End Machine Learning School at e2eml.school/courses
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Learning neural network
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Pipeline for deep learning network construction of host pathogen interaction (DLNet-HPI).
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Neural Network software for identifying atoms and atomic columns in High Resolution Transmission Electron Micrographs (HRTEM)
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A project for Zero hunger and Supply chain management using artificial intelligence. Heuristic programming algorithm on an N-Ary tree with a dynamically adaptive pruning technique to solve an optimization problem. The optimization problem involves finding the minimum hunger, waste, and cost based on the consumer’s demand.
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The project that actually runs Wally (https://gitlab.com/WallyTheWobot/wally) using GitLab CI.
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Package for generating and inverse-designing 2D lattice materials. Represents lattices as heterogeneous graphs and utilizes message passing, automatic differentiation and surrogate gradients for the inverse design.
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A Python library for Secure and Explainable Machine Learning
Documentation available @ https://secml.gitlab.io
Follow us on Twitter @ https://twitter.com/secml_py
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