-task-2-prediction-using-unsupervised-ml__grip-the-sparks-foundation

In this regression task I tried to predict the percentage of marks that a student is expected to score based upon the number of hours they studied. This is a simple linear regression task as it involves just two variables.

3d-scene-spanning-multiple-windows-using-three.js-and-localstorage

A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage

3gii-sse-ia

This repository contains the project files and resources for the course "Artificial intelligence (3GII-SSE-IA)."

a-ship-or-an-iceberg-can-you-decide-from-space-

The remote sensing systems used to detect icebergs are housed on satellites over 600 kilometers above the Earth. The Sentinel-1 satellite constellation is used to monitor Land and Ocean. Orbiting 14 times a day, the satellite captures images of the Earth's surface at a given location, at a given instant in time. The C-Band radar operates at a frequency that "sees" through darkness, rain, cloud and even fog. Since it emits it's own energy source it can capture images day or night. Satellite radar works in much the same way as blips on a ship or aircraft radar. It bounces a signal off an object and records the echo, then that data is translated into an image. An object will appear as a bright spot because it reflects more radar energy than its surroundings, but strong echoes can come from anything solid - land, islands, sea ice, as well as icebergs and ships. The energy reflected back to the radar is referred to as backscatter. Here we see challenging objects to classify. We have given you the answer, but can you automate the answer to the question .... Is it a Ship or is it an Iceberg?

ad_lifetime_predection

To be able to predict used cars market value can help both buyers and sellers. So In this Project, we are going to predict the best of Used Cars using various features.

agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

android-fundamentals-exycodelabs

android-td1-3gii-sse

Android-TD-3GII-SSE

android-td2-3gii-sse-

Android-TD2-3GII-SSE

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-public-datasets

A topic-centric list of HQ open datasets.

baby-name-generation

Baby Name Generation is a fascinating application of artificial intelligence and natural language processing (NLP) that involves the creation of new and unique names for newborns. This task combines linguistic creativity with data-driven approaches to generate names that are both meaningful and culturally resonant.

bert-neural-language-interface-explainability-explorer

Welcome to the Neural Language Interface (NLI) Explain project! This repository is dedicated to exploring and explaining the decision-making process of BERT models in the context of Natural Language Inference (NLI) tasks. We employ Feature Interaction methods to shed light on why BERT makes specific predictions in NLI.

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

bmiappandroid

BMIAppAndroid (Exercice 1 T-3GII-SSE)

breast-cancer-detection-using-machine-learning-classifier.

Breast Cancer Detection Using Machine Learning Classifier Goal of this ML project : I have extracted features of breast cancer patient cells and normal person cells then I create an ML model to classify malignant and benign tumor. To complete this ML project i used the supervised machine learning classifier algorithm. Author: Mannai Mohamed Mortadha

captcha-text-recognition-with-crnn

Captcha Text Recognition with Convolutional Recurrent Neural Networks (CRNN) is a powerful approach that combines convolutional and recurrent neural network architectures to effectively solve the challenging problem of recognizing text within CAPTCHA images.

chat-bot-using-streamlit-and-openai

This repository hosts a user-friendly chatbot application, powered by the GPT-3.5 model and built with the Streamlit framework. Engage in dynamic conversations, ask questions, and enjoy interactive responses with ease. Customize and extend its capabilities to suit your specific requirements.

comparative-analysis-of-equity-crowdfunding-expenditure-across-oecd-nations-python-and-r-approach

This project aims to perform a comprehensive analysis of the differences in money spent on "Equity Crowdfunding" projects across OECD countries.

cr-tp-31-gii-sse

App that demonstrates images used as buttons and a floating action button to launch a second activity, which demonstrates EditText input controls and radio buttons. This version includes options in the options menu of the app bar.

cr-tp-32-gii-sse

Develop and execute an app utilizing a `RecyclerView` to display recipes with names and brief descriptions, navigating to a detailed view on selection. Requirements include placeholder texts, optional dish images, and a 'Up' button for easy navigation, testing proficiency in `RecyclerView` implementation and user-centric functionality.

davinci230221-

deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

destiantion_robot

ACADEMIC PROJECT : Optimal placement of a robot according to a task to be carried out in a constrained environment

disaster-risk-monitoring-using-satellite-imagery-and-nvidia-libraries

Learn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve the efficiency, and significantly enhance the effectiveness of various natural disaster management use cases.

dispatch

All of the ad-hoc things you're doing to manage incidents today, done for you, and much more!

droidcafeoptions

App that demonstrates images used as buttons and a floating action button to launch a second activity, which demonstrates EditText input controls and radio buttons. This version includes options in the options menu of the app bar.

dynagraphx

DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.

evolvegcn-evolving-graph-convolutional-networks-for-dynamic-graphs-

This repository contains the code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs, published in AAAI 2020.

facenetx-face_recognition_w_deepface-

This code provides an implementation of face recognition using the DeepFace library and OpenCV. It allows you to perform face recognition on both static images and real-time video from a webcam.