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Name: Viraj Vaidya
Type: User
Location: Sydney, Australia
Name: Viraj Vaidya
Type: User
Location: Sydney, Australia
SARIMA electricity demand forecasting model in Python using over a million datapoints for Australian states.
The Python/R/Julia/C++/CudaC++ codes and LaTeX/LyX files for the "Bayesian Computational Statistics" series at my YouTube channel
Computations of alpha and beta for tech stocks on the Australian Stock Exchange using the Capital Asset Pricing Model.
COVID-19 Case Modelling in Julia completed as part of the MIT Math 6S083 Course.
Deep Learning for Satellite Imagery
A robot powered training repository :robot:
VGG16 Convolutional Neural Network Model for Image Classification using the classic Kaggle Cats and Dogs Image Dataset.
Moving Average Convergence Divergence (MACD) computation and visualisation of Australian Stock Exchange Securities
MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines
Examples of Optimization Problems in Julia using a Google Colaboratory Jupyter Notebook
Application of Black Scholes model and computation of greeks of European style options in Python.
Usage examples, demos, and tutorials for OSMnx.
Python script that fetches and updates near realtime photos taken by NASA's Perseverance Mars Mission.
Portfolio Optimisation of an ASX20 Portfolio. Covers VaR, EaR, Monte Carlo Simulation, Volatility, Sharpe Ratios etc.
Dynamic Stochastic Equilibrium Models (DSGE) in Python
the code for the regression analysis course I teach in 2021S2, using Julia, R, Python and Stata in Jupyter notebook
Tools for visualizing dynamic economic models
all the codes and packages for the statistics course I teach at 2020 S1 and S2
A collection of assessments in Time Series Analysis completed as part of my Econometrics program.
Univariate time series forecasting in Python of commodity prices using the Autoregressive Integrated Moving Average (ARIMA) model.
Value at Risk (VaR) and Sharpe Ratio computations of securities on the Australian Stock Exchange (ASX).
Vector Autoregressive Model with 20 variables - Australian Housing Data.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.