Stars
Portfolio analytics for quants, written in Python
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
FNSPID: A Comprehensive Financial News Dataset in Time Series
DreamArtist for Stable-Diffusion-webui extension
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.
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A custom OpenAI gym environment for simulating stock trades on historical price data.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Channel Breakout Bot for bitflyer-FX
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
A library for differentiable nonlinear optimization
notebooks for intensive lecture
Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch
Research on Tabular Deep Learning: Papers & Packages
FinRL®: Financial Reinforcement Learning. 🔥
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication …
Graph Machine Learning, published by Packt
A curated list of practical financial machine learning tools and applications.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)