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chaos

Doing some experiments on predicting the evolution of chaotic systems using machine learning.

chaos-detection

Code in Mathematica for estimation of chaos in time series. Includes examples on logistic map.

chaos-predict-machinelearning

using machine learning to predict Chaos

datamining

learn in datamining

deeplearningpython_nielsen_3.0

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

deepxde

A library for scientific machine learning and physics-informed learning

dynamicalsystems.jl

A Julia software library for chaos and nonlinear dynamics

gwpy

Package for analysing and characterising gravitational wave data in python

heat-equation-using-deep-galerkin-method-and-deepxde

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

influxdb-python

Python client for InfluxDB

influxdbstudio

InfluxDB Studio is a UI management tool for the InfluxDB time series database.

intervalrootfinding.jl

Find all roots of a function in a guaranteed way with Julia

introneuralnetworks

Introducing neural networks to predict stock prices

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nlsolve.jl

Julia solvers for systems of nonlinear equations and mixed complementarity problems

nnroots

通过神经网络求非线性方程的根 by guoxiaobo

node

神经常微分方程，基于神经网络求解常微分方程组。

node_2

神经常微分方程：二阶常微分方程。

nodev1.2