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alphalens

Performance analysis of predictive (alpha) stock factors

alphatrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

awesome-economics

A curated collection of links for economists

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

causal-impact-analysis-demo

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

compecon-python

A Python version of Miranda and Fackler's CompEcon toolbox

daft

Render some probabilistic graphical models using matplotlib

dashboard

A collection of open source projects relevant for industrial ecology practitioners, hosted on GitHub and beyond

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

dolo

Economic modelling in python

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

fecon235

Computational tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

fifa-2018-world-cup-predictions

financedatareader

Financial data reader

financeops

Research in investment finance with Python Notebooks

gensim

Topic Modelling for Humans

geopandas_ssb_nvdb_demo

Demo på jupyter notebooks, python og geopandas med åpne datasett fra Vegvesenet og Statistisk sentralbyrå

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

lightning-example-notebooks

Example Jupyter notebooks of lightning visualizations

matplotlib-gallery

Examples of matplotlib codes and plots

mltrain-nips-2017

This repository contains all the material for the MLTrain NIPS workshop

neural-art

Repository for neural style transfer

nltk

NLTK Source

nupic

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

odym

Open Dynamic Material Systems Model

practical-time-series-analysis

Practical Time-Series Analysis, published by Packt