Generate realizations of stochastic processes in python.
Language modeling via stochastic processes. Oral @ ICLR 2022.
Solutions and simulations from the Essentials of Stochastic Processes by Richard Durrett
My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.
Deep Gaussian Processes with Doubly Stochastic Variational Inference
📦 Python library for Stochastic Processes Simulation and Visualisation
Generate stochastic processes using Python. Unfortunately not maintained any longer =(
#计算机科学#NMA Computational Neuroscience course
Simulation of common stochastic processes with native JavaScript
RJMCMC with Simulated Annealing//Stochastic Processes
Economic scenario generator for python: simulate stocks, interest rates, and other stochastic processes.
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Course materials for the Coursera MOOC: Stochastic Processes from National Research University Higher School of Economics
My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.
#区块链#Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Dependency is handled with vine copulas.
This Python package aims at providing tools to study stochastic processes: integrate SDEs, solve Fokker-Planck equations, sample rare events,...
Stochastic Weight Averaging in PyTorch
Stochastic Adversarial Video Prediction
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Stochastic flame graph profiler for Go programs
Deep Networks with Stochastic Depth
Xenos: Xenharmonic Stochastic Synthesizer