A repo for my own work inspired by the intensive training lectures and tutorials. Other than the warm-up exercise, NO LAB MATERIAL IS SHARED HERE.
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Updated
Nov 15, 2019 - Python
A repo for my own work inspired by the intensive training lectures and tutorials. Other than the warm-up exercise, NO LAB MATERIAL IS SHARED HERE.
Repository to explain the projects currently being developed at Foundation29.
The mobile app client for the Forest Guard AI model built for the AI4Good Hackathon organized by AICommons and moderated by Superfluid.io.
Repositorio del proyecto final del Equipo Rosa para SaturdaysAI LATAM 2020
A list of useful resources in the trash classification and detection (mainly plastic), such as datasets, papers, links to open source projects
Satellite environmental track of the TUM.ai Makeathon. Team bonk.
Open benchmark dataset of COVID-19 related ultrasound imaging data, curated and systematically validated — Ensemble de données de référence ouvert d'imagerie échographique liées à la COVID-19, organisé et systématiquement validé
AI4Good Lab Montreal 2022 - Mental Health Chatbot
AI4Good Lab Montreal 2022 - Team 4 Project
A desktop application that makes using MegaDetector's model easier
Hate-CLIPper: Multimodal Hateful Meme Classification with Explicit Cross-modal Interaction of CLIP features - Accepted at EMNLP 2022 Workshop
Este proyecto es una aplicación web que utiliza la API de OpenAI para generar automáticamente presentaciones educativas. La aplicación permite a los usuarios ingresar información sobre el tema de la clase, la duración, el nivel educativo y las palabras clave relevantes.
Easy_sign is an open source russian sign language recognition project that uses small CPU model for predictions and is designed for easy deployment via Streamlit.
Do not waste your hidden food in your fridge, with this AI assistant you will bring out these forgotten food in your kitchen/fridge
Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.
Find out about sustainability in your favorite sport clothing brands, in just one click!
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