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.

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

The agent engineering platform

DeepSeek Coder: Let the Code Write Itself

Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

List of tools & datasets for anomaly detection on time-series data.

List of papers, code and experiments using deep learning for time series forecasting

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Time series forecasting with machine learning models

Automated Time Series Forecasting

A use-case focused tutorial for time series forecasting with python

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

An open-access benchmark and toolbox for electricity price forecasting

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' hawks. Widely used in engineering, machine learning, and reso…

Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

This is a collection of AI ecosystem, which gathers and organizes various interesting and useful AI-related projects

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new featur…

Stacking a machine learning ensemble for multivariate time series forecasting, with the goal of predicting the one-period ahead PM 2.5 air pollution level, as published in Towards Data Science on M…

Jupyter notebooks and Python code for analyzing air quality (fine particle, PM2.5)

Building energy consumption prediction using hybrid RF-LSTM based CEEMDAN method

KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning

A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression