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Collection of notebooks about quantitative finance, with interactive python code.
python
econometrics
heston-model
kalman-filter
levy-processes
option-pricing
brownian-motion
american-options
fourier-inversion
jupyter-notebooks
linear-regression
monte-carlo-methods
quantitative-finance
stochastic-processes
financial-engineering
financial-mathematics
linear-systems-equations
jump-diffusion-mertons-model
partial-differential-equations
stochastic-differential-equations
Created
2019-09-10
75 commits to master branch, last one 2 months ago
Repository for most of the code from my YouTube channel
Created
2018-08-09
189 commits to master branch, last one about a year ago
Machine learning algorithms for many-body quantum systems
Created
2018-04-23
3,615 commits to master branch, last one 17 days ago
Quantitative Finance tools
Created
2018-07-04
18 commits to master branch, last one 3 years ago
state of the art C++ pseudo-random number generator library for sequential and parallel Monte Carlo simulations
Created
2011-10-29
192 commits to master branch, last one about a month ago
State estimation, smoothing and parameter estimation using Kalman and particle filters.
gnss
controls
tracking
estimation
kalman-filter
control-systems
particle-filter
virtual-sensing
state-estimation
data-assimilation
dynamical-systems
bayesian-inference
monte-carlo-methods
parameter-estimation
system-identification
extended-kalman-filter
sequential-monte-carlo
prediction-error-method
unscented-kalman-filter
guidance-navigation-control
Created
2018-02-17
565 commits to master branch, last one 5 days ago
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Created
2016-12-29
5,236 commits to master branch, last one 11 days ago
Deep active inference agents using Monte-Carlo methods
Created
2020-06-03
22 commits to master branch, last one 3 years ago
Reinforcement Learning Short Course
offline-rl
q-learning
ridesharing
deep-q-network
model-based-rl
policy-gradient
value-iteration
policy-iteration
fitted-q-iteration
dynamic-programming
monte-carlo-methods
policy-based-method
off-policy-evaluation
reinforcement-learning
markov-decision-processes
order-dispatch-recommendation
temporal-differencing-learning
Created
2023-02-07
90 commits to main branch, last one 14 days ago
Author's implementation of SIGGRAPH 2023 paper, "A Practical Walk-on-Boundary Method for Boundary Value Problems."
Created
2023-07-16
3 commits to main branch, last one about a year ago
Robust estimations from distribution structures: III. Non-asymptotic
Created
2023-11-25
23 commits to main branch, last one 10 months ago
This repository has no description...
Created
2022-08-29
37 commits to master branch, last one about a year ago