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📦 Python library for Stochastic Processes Simulation and Visualisation
Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
Python implementation of pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, Heston
Developed a C++ Program for accurate European Option pricing using the exact method, encompassing features for pricing, Put-Call Parity validation, and calculation of delta and gamma.
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
Collection of useful data science topics along with articles, videos, and code
Materials for Probability Theory and Modelling
Topics in Probability Theory and Stochastic Processes
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Solve the travelling salesman problem using a mixed integer optimization algorithm with JuMP
Important concepts in numerical linear algebra and related areas
Repository of Machine learning Algorithms Implemented from scratch
iamananya / Algorithms
Forked from shmundhra/AlgorithmsResource base for all my Algorithmic Ventures
A Collection of Custom Utility Header Files written in C++
180+ Algorithm & Data Structure Problems using C++