Popular GitHub Repositories for Systematic Investing

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

Active learning for systematic reviews

This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

AI-powered tool for efficient abstract and PDF screening in systematic reviews.

Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.

A Systematic Literature Review on Large Language Models for Automated Program Repair

Financial Web Scraper & Sentiment Classifier

Deep learning for forecasting company fundamental data

Systematic Literature Review (SLR) using AI involves leveraging artificial intelligence techniques to automate and expedite the process of reviewing and synthesizing large volumes of scholarly literature.

A package to generate summaries of long-form text and evaluate the coherence of these summaries. Official package for our ICLR 2024 paper, "BooookScore: A systematic exploration of book-length summarization in the era of LLMs".

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

SYNERGY - Open machine learning dataset on study selection in systematic reviews

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

An All-in-One Algo-Trading Framework: Backtest -> Train -> Trade -> Monitor. Machine / Deep Learning Ready. Supports All Trading: TradFi+CeFi+DeFi. Code Once, Trade Anywhere.

A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models

The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".

A systematic comparison of different machine learning & deep learning classification approaches applied to the problem of fully automatic recognition of Facial Expressions.