Pinned Repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
bayesian-structural-time-series
bayesian structural time series
chemicalx
A PyTorch and TorchDrug based deep learning library for drug pair scoring.
DeepVARwT-data-code
doccano
Open source text annotation tool for machine learning practitioner.
DT
R Interface to the jQuery Plug-in DataTables
Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
J-GenHel
Complex helicopter model based on the General Helicopter (GenHel) flight dynamics simulation model. This model is representative of a utility helicopter similar to a UH-60. The model contains a 6-DoF rigid-body dynamic model of the fuselage, nonlinear aerodynamic lookup tables for the fuselage, rotor blades, and empennage, rigid flap and lead-lag rotor blade dynamics, a three-state Pitt-Peters inflow model, and a one-state tail rotor inflow model.
J-SimpleHel
Simple helicopter model representative of a utility helicopter similar to a UH-60. The model contains a 6-degree-of-freedom nonlinear rigid-body dynamic model of the fuselage, a quasi-static model of the blade flapping, and uses static aerodynamic models for fuselage, main and tail rotor inflows, and empennage. this model can easily adapted to any conventional helicopter platform (i.e., conventional main and tail rotor configurations) and is intended for preliminary stability and performance analyses.
terragord7's Repositories
terragord7/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
terragord7/AcademicQuantLab
A humble repository for academic quant strategies
terragord7/ARK-Invest-Tesla-Valuation-Model
An excerpt from our financial valuation model of Tesla
terragord7/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
terragord7/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
terragord7/BlackKarasinskiTree
terragord7/chartpy
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
terragord7/Coursera-Machine-Learning-for-Trading
https://www.coursera.org/specializations/machine-learning-trading
terragord7/Finance
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
terragord7/FinanceToolkit
Transparent and Efficient Financial Analysis
terragord7/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
terragord7/findatapy
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
terragord7/finmarketpy
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
terragord7/FLOWUnsteady
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
terragord7/free-data-science-books
Free resources for learning data science
terragord7/HestonOption
The Heston model is a mathematical model used in financial mathematics to describe the dynamics of asset prices, particularly in the context of options pricing. I evaluated dividend-paying European options and American options with Heston model in Python. https://youtu.be/fzikOtbVEL8
terragord7/ib_insync
Python sync/async framework for Interactive Brokers API
terragord7/Machine-Learning-with-R-Fourth-Edition
Machine Learning with R, Fourth Edition- published by Packt
terragord7/MARL-drag-reduction-in-wall-bounded-flows
terragord7/Metropolis
Implementation of "The Metropolis Algorithm: Theory and Examples"
terragord7/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
terragord7/Monte-Carlo-Simulations
terragord7/notebooker
Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
terragord7/OptionCalculator-Python-Package
'OptionCalculator' class provides user-friendly functions for option pricing, arbitrage detection, visualization (and not only) without the need for intricate calculations.
terragord7/OrnsteinUhlenbeck
The Ornstein-Uhlenbeck process is a key model for mean-reverting stochastic behavior, characterized by its tendency to revert to a long-term mean, along with random fluctuations. I simulated the Ornstein-Uhlenbeck process, compared calculated parameters with theoretical parameters, analyzed first passage time. https://youtu.be/dV23py1ISs0
terragord7/PCAVasicek
The Vasicek model is a mathematical model describing the evolution of interest rates. I explained how to use principal component analysis (PCA) for the interest rate models. I demonstrated how to calibrate Vasiceck model and how to run Monte Carlo simulations for Vasicek model. https://youtu.be/TrEnSQ2Pms4
terragord7/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
terragord7/qstrader
QuantStart.com - QSTrader backtesting simulation engine.
terragord7/quantstats
Portfolio analytics for quants, written in Python
terragord7/tcapy
Open source TCA (transaction cost analysis) Python library for FX spot