ai-projects
There are 1 repository under ai-projects topic.
- Land-Cover-Semantic-Segmentation-PyTorch
souvikmajumder26 / Land-Cover-Semantic-Segmentation-PyTorch
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
artificial-intelligencecomputer-visiondeep-learningend-to-endimage-segmentationlandcoverneural-networkpromptablepromptable-segmentationpytorchsatellite-imagerysegmentation-models-pytorchsemantic-segmentationunetai-projectai-projectsmachine-learning-projectmachine-learning-projectsml-projectml-projectsLanguage:Jupyter Notebook 64 Divyam6969 / Pneumonia-Detection-using-FastAI
This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask
Language:Jupyter Notebook 6gdsc-ipsacademy / Connect-Four-Game
A game of connect four with an AI to play against.
Language:Python 5ialexmp / AI-Pacman-Projects
Explore foundational AI concepts through the Pac-Man projects, designed for UC Berkeley's CS 188 course. Implement search algorithms, multi-agent strategies, and reinforcement learning techniques in Python, emphasizing real-world applications. Engage in the Eutopia Pac-Man contest for a multiplayer capture-the-flag challenge
Language:Python 4UmairThakur / UPT-Junior-Analyst
AI Tool for quick Data Analysis, Visualisation and model development but much more smarter and secure than Code Interpreter.
UPT-Artist is a Python application that utilizes OpenAI's GPT-3.5 language model to generate logos and images based on user input. It allows users to select the type of logo they want and provide a prompt for image generation. The application processes the data locally, ensuring data security, and generates a logo image using the OpenAI API.
Application made using Flask that runs on a ML Model trained using random forest classification model that helps in prediction of heart disease
Language:Jupyter Notebook- gardnerChessAi
flowun / gardnerChessAi
Implementation of the Double Deep Q-Learning algorithm with a prioritized experience replay memory to train an agent to play the minichess variante Gardner Chess
Language:Python