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data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

deephpms icon deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deepstrain icon deepstrain

A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics

deepvol icon deepvol

Using DeepBSDE solver to price/hedge options & optimize portfolios under Black-Scholes, Heston and multiscale models.

deepxde icon deepxde

Deep learning library for solving differential equations and more

diffequncertainty.jl icon diffequncertainty.jl

Uncertainty quantification for scientific machine learning (SciML) and differential equations

discretize icon discretize

Discretization tools for finite volume and inverse problems.

dit icon dit

Python package for information theory.

dns-channel icon dns-channel

Direct Numerical Simulation of an incompressible turbulent channel flow (CPL)

dns-pipe icon dns-pipe

Direct Numerical Simulation (DNS) of an incompressible turbulent pipe flow (CPL)

dolfinx icon dolfinx

Next generation FEniCS problem solving environment

ecgsim icon ecgsim

ECG simulator app for use with Arduino

edward icon edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

entropy icon entropy

Entropy Toolkit is a set of tools to exploit Netwave and GoAhead IP Webcams. Entropy is a powerful toolkit for webcams penetration testing.

ep-pinns icon ep-pinns

EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes Matlab finite-differences solver for data generation.

example-scalping icon example-scalping

A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio

foqus icon foqus

FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates

fpp2-package icon fpp2-package

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.

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