• Stars
    star
    2
  • Language
    Java
  • Created 10 months ago
  • Updated 10 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

Homelab-Environments-Monitor

ESP8266 Based Ambient Environment Monitor
C++
23
star
2

CU-AdobeLicense-Renewer

Automate Adobe license renewal for Chulalongkorn University students using Selenium.
Python
17
star
3

2190152-Advanced-Computer-Programming-Laboratory

My Solutions to the 2190152 course
Java
10
star
4

Montainer

Minecraft in a container
Python
6
star
5

Reddit-Image-Scraper

Create Fast and easy image datasets using reddit
Python
4
star
6

Banana-log

Python
4
star
7

eye-tracker

Jupyter Notebook
3
star
8

CorgiDB

Write as short as Corgi's legs but and as fast as a Corgi
Python
3
star
9

MNIST-GAN-Model

Generating Hand Written Digit with tf.keras
Jupyter Notebook
3
star
10

WasinUddy

3
star
11

Instagramizer

Instagramizer is a command-line tool designed to assist photographers in easily processing their images for Instagram. Developed by a photographer for photographer
Python
3
star
12

Algorithm

Python
2
star
13

NSC2021-Simplified-SmartFarming-Development-Platform

Python
2
star
14

Music-Generator

Generate Music with Tensorflow!!!!
Jupyter Notebook
2
star
15

WaveFunction-Collapse-Algorithm

Python
2
star
16

PySort

Visualizing Sorting algorithm
Python
2
star
17

Sentiment-Analysis-using-BERT

Trying out various NLP task using BERT model
Jupyter Notebook
1
star
18

2190151-ComputerProgrammingLaboratory

C++
1
star
19

easy-git

Easy-git for non programmer
Python
1
star
20

ImageCaptionGenerator

Image2Text model trained on Flickr8K dataset
Python
1
star
21

Star-Wars-Script-Generator

Generate New Star Wars Script with tensorflow!!!!!
Jupyter Notebook
1
star
22

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.
JavaScript
1
star