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allennlp

An open-source NLP research library, built on PyTorch.

allocator

A fully autonomous, dynamic portfolio manager. Re-balances positions and allocates free cash daily, while generating reports.

allrank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

allthingsfintech

Source code from All things finance and technology blog

alluxio

Alluxio, formerly Tachyon, Unify Data at Memory Speed

almgren-chriss-model

almgren_chriss

alpha-mind

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

alpha-rnn

alpha-RNN

alpha_vantage

A python wrapper for Alpha Vantage API for financial data.

alphaai

Use unsupervised and supervised learning to predict stocks

alphabacktest

Backtesting Python module for algorithmic trading

alphacsc

Convolution dictionary learning for time-series

alphalens

Performance analysis of predictive (alpha) stock factors

alphapy

Automated Machine Learning [AutoML] for Python

alphatools

Quantitative finance research tools in Python

alphautil

Utilitiess for financial machine learning

alphavantageapi

An Opinionated AlphaVantage API Wrapper in Python 3.9. Compatible with Pandas TA (pip install pandas_ta). Get your FREE API Key at https://www.alphavantage.co/support/

alphavantager

A lightweight R interface to the Alpha Vantage API

alr

Accelerated Higher Order Logistic Regression

altair

Declarative statistical visualization library for Python

altruist

Altruist: Argumentative Explanations through Local Interpretations of Predictive Models

amanpg

Implementation of chenshixiang/AManPG in R, Python, Julia.

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

amazon-prices

ambari-service

amboss

Ambrosys Open-Source-Software Library

amica

Code for AMICA: Adaptive Mixture ICA with shared components

amlsim

The AMLSim project is intended to provide a multi-agent based simulator that generates a series of banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing your machine learning models and graph algorithms. We welcome you to enhance this effort since data set is critical to advance our detection capabilities of money laundering activities .

amortizedcausaldiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data