Performant and effortless finance plotting for Python

This is a machine learning model for time series pattern recognition using a recurrent neural network and LSTM in TensorFlow.js

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

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TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …

ModelScope-Agent: An agent framework connecting models in ModelScope with the world

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.

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

tfts: Time Series Deep Learning Models in TensorFlow

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method th…

In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, a…

Generative Adversarial Network for Stock Market Price Prediction

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Automatic extraction of relevant features from time series:

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

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150 Indicators

Dolt – Git for Data

Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data

High-Resolution Image Synthesis with Latent Diffusion Models

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…

Python - 100天从新手到大师

AkShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

自动化Tushare数据获取和MySQL储存

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