arachchi Goto Github PK

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

android-mvvm-architecture

This repository contains a detailed sample app that implements MVVM architecture using Dagger2, Room, RxJava2, FastAndroidNetworking and PlaceholderView

angular-rest-springsecurity

An example AngularJS Application that uses a Spring Security protected Jersey REST backend based on Hibernate/JPA

aniseg

A faster-rcnn model for anime character segmentation.

annotatedinterceptors

applewirelesskeyboard

Based on the original AppleWirelessKeyboard helper utility (http://uxsoft.cz/projects/applewirelesskeyboard/), this includes some small changes that allow it to be better used with an Apple wired keyboard.

ara-blog-examples

arachchi

arachchi.github.io

automl

Google Brain AutoML

awesome-deepfake-porn-detection

papers, repos, datasets : deepfake and porn detection using deep learning

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-ml-courses

Awesome free machine learning and AI courses with video lectures.

best-deep-learning-optimizers

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

biomartsourcecodes

I have included the biomart source code here that we can extend in the project

cakephp

CakePHP: The Rapid Development Framework for PHP - Official Repository

callblocker

An iOS call blocker sample app in Swift using CallKit.

chromium-webview-samples

Useful examples for Developing apps with the Chromium based WebView

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

cnndetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

concurrentlab3

This problem was originally based on the Senate bus at Wellesley College. Riders come to a bus stop and wait for a bus. When the bus arrives, all the waiting riders invoke boardBus, but anyone who arrives while the bus is boarding has to wait for the next bus. The capacity of the bus is 50 people; if there are more than 50 people waiting, some will have to wait for the next bus. When all the waiting riders have boarded, the bus can invoke depart. If the bus arrives when there are no riders, it should depart immediately.

country-list

:globe_with_meridians: List of all countries with names and ISO 3166-1 codes in all languages and data formats.

cs344

Introduction to Parallel Programming class code

css3d.js

CSS 3D renderer for Three.js.

cytoscape.js

A JavaScript graph library for analysis and visualisation (compatible with Node.js, jQuery 1.4+, and plain JavaScript)

dall-e

PyTorch package for the discrete VAE used for DALL·E.

darknet

Convolutional Neural Networks

data-science-career

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

dear_diary

Easy to use mobile Diary application built with flutter

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)