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amaw-pinn

Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting

andoid-app

Creating a simple voting system app with a team at university

arima-temperature_forecasting

Temperature forecasting using ARIMA model in Python. Pmdarima and statsmodel library are used

congestion_game

o compute a Nash equilibrium of a congestion game

coursera-machine-learning-stanford

Machine learning-Stanford University

cpinn

Competitive Physics Informed Networks

datasciencecoursera

for Data Science class on Coursera

dilkara-v1.0.2

dilkara local file, version 1

experts-problem

fb-prophet-time-series-forecasting

Time Series forecasting on daily temperature data using the FB Prophet library. Complete Video Explanaiton on my YouTube channel: https://www.youtube.com/watch?v=2vF2xTUXJwM

fem-vs-pinns

first_flutter_app

My first software application developement project using flatter

honor

Honor preparation and coding

java-web

HTML,CSS,Javascript learning notes

javascript-course

locally-adaptive-activation-functions

Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networks (PINNs) in PyTorch.

locally-adaptive-activation-functions-neural-networks-

Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawaguchi, G E Karniadakis, Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences,

multivariate-time-series-forecasting

Multivariate time series forecasting using the VAR Model in Python. Video Explanation available on my Youtube channel: https://www.youtube.com/watch?v=4jv1NGlAc_0

mynotes-course

This is the GitHub repository of the MyNotes application for the Free Flutter Course (https://www.youtube.com/playlist?list=PL6yRaaP0WPkVtoeNIGqILtRAgd3h2CNpT)

python-machine-learning

吴恩达（Andrew Ng）在coursera的机器学习课程习题的python实现

shopsie

This is eCommece application which is built in Flutter and Medusa API.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-machine-learning-course

machine learning course programming exercise

time-series-forecasting-lstm

Time series forecasting using LSTM in Python

wp-plugins

youtube-tutorials

A collection of the code I have written for my YouTube tutorials.