fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Code for "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"

Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

(AAAI 2024) BLIVA: A Simple Multimodal LLM for Better Handling of Text-rich Visual Questions

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 …

MOMENT: A Family of Open Time-series Foundation Models

Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

An official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning"

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

Code release for "Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models" https://arxiv.org/abs/2402.03659

WorldGPT: Empowering LLM as Multimodal World Model

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Ollama, etc s…

Large Language Model-based Stock Trading in Simulated Real-world Environments

FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀

csp is a high performance reactive stream processing library, written in C++ and Python

An up-to-date list of time-series related papers in AI venues.

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

Some Conferences' accepted paper lists (including AI, ML, Robotic)

WonderTrader——量化研发交易一站式框架

Performance analysis of predictive (alpha) stock factors

Python Backtesting library for trading strategies

Technical indicators for cryptocurrencies, stocks and forex. To work with historical and real price data. One of the most efficient Javascript library implementations. The library has such indicato…

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。

Modeling, training, eval, and inference code for OLMo