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Name: Prayash Thapa
Type: User
Bio: My personal projects/repository + forked projects of other people.
Name: Prayash Thapa
Type: User
Bio: My personal projects/repository + forked projects of other people.
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
This repository is used to store all work done on the final report and algorithms for the Adaptive Signal Processing & Machine Intelligence module at Imperial College London, 2020-2021.
Quantitative analysis, from data processing and trading signal generation to portfolio management. Using machine learning to generate trading signals.
Config files for my GitHub profile.
My answers to exercises in Stochastic Calculus for Finance by Steven E. Shreve.
Imperial Module on Deep Learning
O'Reilly
A list of online resources for quantitative modeling, trading, portfolio management
Notebooks from the Quantinsti EPAT program
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Using different GAN architectures to create new MNIST data
Self-hosted crypto trading bot (automated high frequency market making) written in C++
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Python Options Pricing Library
Repository for module "Python for Finance" of Term 1 of the MSc in Mathematics and Finance course, by Imperial College London, 2020-2021
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Implementations of Leading Algorithms in Quantitative Finance
Quantitative analysis, strategies and backtests
Backtest and live trading in Python
Testing various RNN architectures to recognise hand actions from 3D hand pose annotations
Sparse Heteroscedastic Gaussian Processes
Statistical methods used in Quantitative Finance (Random Matrix)
Record the learning materials of the course - "STOCHASTIC ANALYSIS OF COMPUTER NETWORKS" in National Cheng Kung University.
A decision model build using probability and stochastic process knowledge to mitigate the revenue loss of a company due to unfavorable fluctuations in international Dollar value
Queueing Theory and Markov Chain cases, where Stochastic Modeling is applied
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.