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ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

alphalens

Performance analysis of predictive (alpha) stock factors

arima-model

ARIMA model from scratch using numpy and pandas.

atspy

AtsPy: Automated Time Series Models in Python (by @firmai)

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

automl_alex

State-of-the art Automated Machine Learning python library for Tabular Data

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

awesome_time_series_in_python

This curated list contains python packages for time series analysis

bandits

Bayesian Bandits

bayes_computing_course

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-optimization

Bayesian Optimization algorithms with various recent improvements

bt

bt - flexible backtesting for Python

convert2yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

countrygroups

Data Package, Python and JavaScript module with country groups

coursera-tensorflow2_for_deeplearning_specialization

Coursera TensorFlow2 For DeepLearning Specialization

cowc_car_counting

Project to train/evaluate convolutional neural networks to count cars from COWC aerial images

darts

A python library for easy manipulation and forecasting of time series.

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-symbolic-optimization

Source code for deep symbolic optimization.

deepsymreg

Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"

dl-colab-notebooks

Try out deep learning models online on Google Colab

drilling-data-tools

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

etna-ts

ETNA – Time-Series Library

extra-streamlit-components

An all in one place, to find complex or just not available components by default on streamlit.

factor_momentum

An equity analysis on momentum factor investing.

forecastga

A Python tool to forecast Google Analytics data using several popular time series models.

forecasting

Forecasting lectures and tutorials using Python

fulton_statsmodels_2017

State Space Estimation of Time Series Models in Python: Statsmodels