albinjames

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

statsmodels

Statsmodels: statistical modeling and econometrics in Python

distrobox

Use any linux distribution inside your terminal. Enable both backward and forward compatibility with software and freedom to use whatever distribution you’re more comfortable with. Mirror available at: https://gitlab.com/89luca89/distrobox

pymc

Bayesian Modeling and Probabilistic Programming in Python

pyro

Deep universal probabilistic programming with Python and PyTorch

resume

Software developer resume in Latex

differential-privacy

Google's differential privacy libraries.

PySR

High-Performance Symbolic Regression in Python and Julia

JuMP.jl

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

minimal

Minimal is a Jekyll theme for GitHub Pages

resume

LaTeX template for my personal resume

differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

optim

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

pystan

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

pyFTS

An open source library for Fuzzy Time Series in Python

autodp

autodp: A flexible and easy-to-use package for differential privacy

SDGym

Benchmarking synthetic data generation methods.

nbcommands

Unix commands for Jupyter notebooks.

BayesPy

Bayesian Inference Tools in Python

GRBM

Gaussian-Bernoulli Restricted Boltzmann Machines

automated-building-detection

Automated Building Detection using Deep Learning

Appliances-energy-prediction-data

Data sets and scripts for the publication in Energy and Buildings Data driven prediction models of energy use of appliances in a low-energy house. Luis M. Candanedo, Véronique Feldheim, Dominique Deramaix. Energy and Buildings, Volume 140, 1 April 2017, Pages 81-97, ISSN 0378-7788,

DataDrivenDynSyst

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

flexible-pomo-obsidian

notebooks

Code examples for pyFTS

perfect-german-cv

:de: A perfect German CV in LaTeX

SRNN

Symplectic Recurrent Neural Networks

causal_demon

awesome_time_series_in_python

This curated list contains python packages for time series analysis