Smile App mimics a person's emotions, age, and gender from CAM, Video, and Picture and sends data to the MQTT broker. In the frontend, Smile is changing real-time
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Updated
Jul 6, 2021 - Python
Smile App mimics a person's emotions, age, and gender from CAM, Video, and Picture and sends data to the MQTT broker. In the frontend, Smile is changing real-time
This is a course project (named Poem Analyst) from NUS-ISS. We build a pipline for Chinese poerty lovers to understand this complex linguistic mastarpieces from a quantifiable way.
This is the implementation of paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim
Feature extraction of Open Access Series of Imaging Studies (OASIS) using Keras applications.
A flow to compile ESPCN (super resolution) using TVM and run the compiled model on CPU to calculate PSNR
Image Classification for a City Dog Show Project Goal Improving your programming skills using Python. In this project, I use a created image classifier to identify dog breeds. It is for one of the submission for the udacity nanodegree program
A summer research project for URES students: Identify PTM reuse through academic transactions
Project 1: Use a Pre-trained Image Classifier to Identify Dog Breeds - AI with Python Programming Nanodegree (Udacity)
Waste sorter for recycling using AI
images classification demo, with pre-trained models on ImageNet,using Pytorch
This repository will show you the process of using transfer learning in deep leaning..
Attempt to train a convolutional neural network for image classification using transfer learning. The model constructed was then adapted to the purpose of developing an image search engine able to rank images with regard to their similarity.
Develop a Romanian legal domain Large Language Model (LLM) using pre-trained model and fine-tuning on legal texts. The fine-tuned model is available on Hugging Face.
This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.
Object detection system using a pre-trained Faster R-CNN model with PyTorch, deployed via a Streamlit web application.
Open-domain question-answering system using BERT pre-trained model
PyTorch implementation of Conditional Generative Adversarial Networks (cGAN) for image colorization of the MS COCO dataset
Solving a Rubik's cube with AI
Python code to read the files from a folder and classify the animal images
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