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1806

18.06 course at MIT

18330

18.330 Introduction to Numerical Analysis

18335

18.335 - Introduction to Numerical Methods course

18s191

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

admmbo

An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''

awesome-functional-python

awesome-neural-ode

A collection of resources regarding the interplay between ODEs, dynamical systems and neural networks

awesome-productivity-cn

绝妙的个人生产力（Awesome Productivity 中文版）

bilibili-api

哔哩哔哩的API调用模块

cam-notes

My Cambridge Lecture Notes

chaoticndetools.jl

A collection of tools, helper functions and layers to assist working with chaotic Neural Differential Equation in Julia

collaborative-etiquette

A manifesto for happy Open Source projects

convolutionalkoopman

dask-gpu-benchmarks

dask-tutorial

Dask tutorial

datadrivendiffeq.jl

A simple package for data driven modeling of dynamical systems

deep----koopman

An implementation of "deep Koopman" method in Keras/Tensorflow

deep_flow_control

Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018

deep_rev_msm

deeptime

Deep learning meets molecular dynamics.

differentialequations.jl

Multi-language suite for high-performance solvers of differential equations

dimensionreduction

Short course on dimension reduction for AMSI

dladmm

dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers

dmd-for-ergodic-systems

Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition

dmd-neuro

code to compute the Dynamic Mode Decomposition (DMD), adapted for large-scale neural recordings

dmdtools

A library of tools for computing variants of Dynamic Mode Decomposition

durbin-koopman-2012-kalman-filter

Illustrations 2.2.5 & 2.4.3 - Durbin & Koopman (2012) P.16 & P.23

from_fourier_to_koopman

Linear and non-linear spectral forecasting algorithms

funk-svd

:zap: A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

graphdmd

Dynamic mode decomposition with dependent structure among observables (Graph DMD)