Generate realizations of stochastic processes in python.
Language modeling via stochastic processes. Oral @ ICLR 2022.
Deep Gaussian Processes with Doubly Stochastic Variational Inference
My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeration systems in any dimension.
Generate stochastic processes using Python. Unfortunately not maintained any longer =(
NMA Computational Neuroscience course
翻译 - Neuromatch学院的暑期课程内容
Solutions and simulations from the Essentials of Stochastic Processes by Richard Durrett
Simulation of common stochastic processes with native JavaScript
Lecture notes for stochastic processes and queueing theory
RJMCMC with Simulated Annealing//Stochastic Processes
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.
Automatic 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,...
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Stochastic Weight Averaging in PyTorch
Stochastic Adversarial Video Prediction
Stochastic flame graph profiler for Go programs
翻译 - Go程序的随机火焰图分析器
Fabulously kill processes. Cross-platform.
翻译 - 神话般地杀死进程。跨平台。
Deep Networks with Stochastic Depth
Xenos: Xenharmonic Stochastic Synthesizer
Stochastic Screen Space Reflections (SSSR)