JagadishSivakumar
Developer, photographer & learner ✨ Trying to perfect the art of making coffee ☕
@lvgig | @Liverpool-Victoria | @tgmember | @AllianzLondon, United Kingdom
Pinned Repositories
AI-Experiment-in-Javascript
Artificial Intelligence - experiment in Vannila JavaScript
awesome-computer-vision
A curated list of awesome computer vision resources
Brain-Tumour-Segmentation
Brain Tumour Segmentation using Deep Neural Networks
brain.js
🤖 Neural networks in JavaScript
Breast-Cancer-Classification-using-KNN
Wisconsin Breast Cancer Classification using CNN
cosmos
[Show :heart: love by 🌟] Your personal library of every algorithm and data structure code that you will ever encounter
Custom-Dock
Interactive dock animation
Document-Scanner-Library
Document Scanner Library - Android Studio
Eat-to-Live
Simple old fashioned Snake Game
Sentiment-Analysis-Globe
Sentiment Analysis Globe - Three.js
JagadishSivakumar's Repositories
JagadishSivakumar/Document-Scanner-Library
Document Scanner Library - Android Studio
JagadishSivakumar/brain.js
🤖 Neural networks in JavaScript
JagadishSivakumar/Eat-to-Live
Simple old fashioned Snake Game
JagadishSivakumar/AI-Experiment-in-Javascript
Artificial Intelligence - experiment in Vannila JavaScript
JagadishSivakumar/Custom-Dock
Interactive dock animation
JagadishSivakumar/Space-Invaders
2D Space Invaders Game in Javascript & HTML5
JagadishSivakumar/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
JagadishSivakumar/Image-Classifier-ml5.js
Image Classifier using ml5.js
JagadishSivakumar/Sentiment-Analysis-Globe
Sentiment Analysis Globe - Three.js
JagadishSivakumar/soulwire---sketch.js
The Sketch.js Website by SoulWire
JagadishSivakumar/ConvNetJS-minified-library
ConvNetJS minified library, the source is from :https://cs.stanford.edu/people/karpathy/convnetjs/build/convnet-min.js
JagadishSivakumar/Deeplearn-minified.js
Minifed Deeplearn.js
JagadishSivakumar/GlobalWheatDetection
Global Wheat Detection by University of University of Saskatchewan - Kaggle
JagadishSivakumar/node
Node.js JavaScript runtime :sparkles::turtle::rocket::sparkles:
JagadishSivakumar/Propel-3.1.0
Propel.js
JagadishSivakumar/Sketch.js-Demo
Simple Drawing Demo with mouse pointer using sketch.js
JagadishSivakumar/tfjs-models
Pretrained models for TensorFlow.js
JagadishSivakumar/ml5-library
Friendly machine learning for the web! 🤖
JagadishSivakumar/AI-algorithms
This repository contains my algorithm implemetantion +EDA + data visualization
JagadishSivakumar/Brain-Tumour-Segmentation
Brain Tumour Segmentation using Deep Neural Networks
JagadishSivakumar/Breast-Cancer-Classification-using-KNN
Wisconsin Breast Cancer Classification using CNN
JagadishSivakumar/Corona_Outbreak_Prediction
The idea of the project is to develop an effective time series additive model and answer "Will India become next Italy, Wuhan, S.Korea ? "
JagadishSivakumar/Association-Rule-Mining_Data-Science-Forum
Associate Rule Mining on groceries dataset for Data Science Forum 2023
JagadishSivakumar/deep-learning-keras-tf-tutorial
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
JagadishSivakumar/keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, R2U-net, Attention U-net, ResUnet-a, U^2-Net, and UNET 3+ with optional ImageNet-trained backbones.
JagadishSivakumar/nyaggle
Code for Kaggle and Offline Competitions
JagadishSivakumar/Parallax_Effect-Scrolling
Parallax Effect on Scrolling using Vannila JavaScript
JagadishSivakumar/py
Repository to store sample python programs for python learning
JagadishSivakumar/tgGuard
frist antispam and group moderator TeleGram bot with fast speed, high power and low space
JagadishSivakumar/twint
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.