option-pricing-modelsSimple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prices for the underlying are fetched from Yahoo Finance API.
UQpyUQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
CreditAn example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
CRPropa3CRPropa is a public astrophysical simulation framework for propagating extraterrestrial ultra-high energy particles. https://crpropa.github.io/CRPropa3/
Algorithmic-TradingI have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
FogTorchPIA probabilistic prototype for deployment of Fog applications.
mpiPyMCA python based, MPI enabled, Monte-Carlo calculation of 2D system using Metropolis algorithm.
PySDMPythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
GOMCGOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems
AdaptivePELEAdaptivePELE is a Python package aimed at enhancing the sampling of molecular simulations
evoplexEvoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.
OpenCossanOpenCossan is an open and free toolbox for uncertainty quantification and management.
TAA-PGUsage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).
CassandraCassandra is a Monte Carlo package to conduct atomistic simulations.
mathematics-statistics-for-data-scienceMathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
w2dynamicsA continuous-time hybridization-expansion Monte Carlo code for calculating n-particle Green's functions of the Anderson impurity model and within dynamical mean-field theory.
xmimsimMonte Carlo simulation of energy-dispersive X-ray fluorescence spectrometers
FlowVizA Power BI template that provides easy to understand, actionable flow metrics and predictive analytics for your agile teams using Azure DevOps, Azure DevOps Server and/or TFS.
ncrystalNCrystal : a library for thermal neutron transport in crystals and other materials
sqaodSolvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).