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activity_monitoring_mimic

autoeda-resources

A list of software and papers related to automatic and fast Exploratory Data Analysis

baseweb

A React Component library implementing the Base design language

blog

country_list

List of all countries with names and ISO 3166-1 codes in all languages.

curso_series_temporais

Materiais utilizados no curso de séries temporais

degiroapi

An unofficial API for the trading platform Degiro, with the ability to get real time data and historical data

devsdl

na

dl-4-tsc

Deep Learning for Time Series Classification

energy_load_data

Energy consumption data

exceedance_wave

Exceedance Probability Forecasting using CDF

explorekit

fforma

Python package for Feature-based Forecast Model Averaging (FFORMA).

finsymbols

Obtains stock symbols and relating information for SP500, AMEX, NYSE, and NASDAQ

finta

Common financial technical indicators implemented in Pandas.

forecasting_ensembles_py

Ensembles for Time Series Forecasting

forecasting_experiments

Experiments on forecasting using dynamic ensembles

ftn

Forecasted Trajectory Neighbors

fundamentalanalysis

Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 20.000+ companies.

gamestonkterminal

The next best thing after Bloomberg Terminal

gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

icll

Layered Learning for Imbalanced Classification

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

kdd_2014

Code for KDD 2014

layered_learning_time_series

Layered learning for early anomaly detection in time series

m5

Winning Solution for the M5 Competition for Uncertainty Forecasting

machine-learning-asset-management

Machine Learning in Asset Management

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

medium_stats

Command Line and Python tool for Scraping Your Medium Stats

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.