WasinUddy/Sentiment-Analysis-using-BERT

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Created over 1 year ago
Updated over 1 year ago

WasinUddy/Sentiment-Analysis-using-BERT

WasinUddy

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Trying out various NLP task using BERT model

Homelab-Environments-Monitor

ESP8266 Based Ambient Environment Monitor

CU-AdobeLicense-Renewer

Automate Adobe license renewal for Chulalongkorn University students using Selenium.

2190152-Advanced-Computer-Programming-Laboratory

My Solutions to the 2190152 course

Montainer

Minecraft in a container

Reddit-Image-Scraper

Create Fast and easy image datasets using reddit

Banana-log

eye-tracker

Jupyter Notebook

CorgiDB

Write as short as Corgi's legs but and as fast as a Corgi

MNIST-GAN-Model

Generating Hand Written Digit with tf.keras

Jupyter Notebook

WasinUddy

Instagramizer

Instagramizer is a command-line tool designed to assist photographers in easily processing their images for Instagram. Developed by a photographer for photographer

Algorithm

NSC2021-Simplified-SmartFarming-Development-Platform

Music-Generator

Generate Music with Tensorflow!!!!

Jupyter Notebook

WaveFunction-Collapse-Algorithm

PySort

Visualizing Sorting algorithm

2190261-Fundamental-Data-Structure-and-Algorithm-Laboratory

2190151-ComputerProgrammingLaboratory

easy-git

Easy-git for non programmer

ImageCaptionGenerator

Image2Text model trained on Flickr8K dataset

Star-Wars-Script-Generator

Generate New Star Wars Script with tensorflow!!!!!

Jupyter Notebook

MNIST-JS-Demo-Website

This repository presents a demonstration of deploying a TensorFlow model on a React.js web application using TensorFlow.js. The model employed is for handwritten digit recognition, trained using TensorFlow's Keras API in Python.