asnnnn Goto Github PK
Type: User
Type: User
Aarogya Setu Android app native code
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
The 3rd edition of course.fast.ai
Pre-release of v4 of course.fast.ai
Tracking the impact of COVID-19 in India
Tools to work with android .dex and java .class files
The fastai deep learning library, plus lessons and tutorials
v1 of the fastai library. v2 is the current version. v1 is still supported for bug fixes, but will not receive new features.
Free, open source crypto trading bot
Python Options Pricing Library
MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Collection of resources used on QuantPy YouTube channel.
Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices
This is a code repository for the corresponding YouTube video. In this tutorial we are going to build and deploy a corona tracker application. Covered topics: React.js, Chart.js, Material UI and much more.
A modular, high performance, headless e-commerce storefront built with Python, GraphQL, Django, and ReactJS.
Algo trade project in python
Using NLP to find and extract specific information from long, unstructured documents
This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
three stochastic volatility model: Heston, SABR, SVI
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Surface SVI parameterisation and corresponding local volatility
SVI volatility surface model and an example of China 50ETF option
Coursera test
Realized Volatility Forecasting modeling
Reverse engineering focusing on x64 Windows.
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.