Build a Perplexity-Inspired Answer Engine Using Next.js, Groq, Llama-3, Langchain, OpenAI, Upstash, Brave & Serper

Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

OCR, layout analysis, reading order, table recognition in 90+ languages

ChatGPT + DALL-E + WhatsApp = AI Assistant 🚀 🤖

A python script to help manage a Gmail inbox by filtering out promotional emails using GPT-3 or GPT-4.

Machine Learning in Finance: From Theory to Practice Book

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Portfolio analytics for quants, written in Python

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SP…

졸업프로젝트 ETF Asset allocation Backtesting & Automatic Investment Logic

Sigtech API Python SDK

FinRL: Financial Reinforcement Learning. 🔥

This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep Reinforcement Learning (DRL). The work presented explores th…

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

Cursos completos de IA dictados por Humai

Examples and guides for using the OpenAI API

IBM HR Dataset - EDA & Machine Learning Attrition Predictions

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Portfolio optimization and back-testing.

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

Machine Learning in Asset Management (by @firmai)