Popular GitHub Repositories for Sales Forecasting

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Fast and Accurate ML in 3 Lines of Code

A unified framework for machine learning with time series

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A python library for user-friendly forecasting and anomaly detection on time series.

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Postgres with GPUs for ML/AI apps.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

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

Probabilistic time series modeling in Python

Time series forecasting with PyTorch

Merlion: A Machine Learning Framework for Time Series Intelligence

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

NeuralProphet: A simple forecasting package

Scalable and user friendly neural :brain: forecasting algorithms.

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Streamer-Sales 销冠 —— 卖货主播 LLM 大模型??，一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。??内含详细的数据生成流程? ?另外还集成了 LMDeploy 加速推理?、RAG检索增强生成 ?、TTS文字转语音?、数字人生成 ?、 Agent 使用网络查询实时信息?、ASR 语音转文字??、Vue 生态搭建前端?、FastAPI 搭建后端??、Docker-compose 打包部署?

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 capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code ?.

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

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 type of model.