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alpha_vantage

A python wrapper for Alpha Vantage API for financial data.

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

altair-tutorial

Notebooks for the Altair tutorial

altair_pandas

Altair backend for pandas plotting

altnnpub

Public code for our paper https://ssrn.com/abstract=3958331

amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

anode

anogan

Tensorflow Implementation of AnoGAN (Anomaly GAN)

anomaly_with_experts

anomalydetection

Anomaly Detection with R

anticipy

A Python library for time series forecasting

applied-ml

📚 Curated papers, articles & videos on data science & machine learning applied in production, with results.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

arctic

High performance datastore for time series and tick data

article-matrix-profile-intro

This is a supporting repository for the journal article https://towardsdatascience.com/introduction-to-matrix-profiles-5568f3375d90.

artificial-intelligence-for-trading

Content for Udacity's AI in Trading NanoDegree.

arxiv-sanity-lite

arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

ast

Adversarial Sparse Transformer for Time Series Forecasting

ataforecasting

ATAforecasting Package for R - Automatic Time Series Analysis and Forecasting using Ata Method

atspy

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

augmentor

Image augmentation library in Python for machine learning.

austin-green-energy-predictor

A machine learning model using weather data to predict MWH output of solar and wind farms in Texas.

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

auto-sklearn

autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

autograd

Efficiently computes derivatives of numpy code.