TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

🤗 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.

Scalable and user friendly neural 🧠 forecasting algorithms.

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

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

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

21 Lessons, Get Started Building with Generative AI

Resources about time series forecasting and deep learning.

An annotated implementation of the Transformer paper.

Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.

100 Days of ML Coding

微信小程序图表库，Charts for WeChat Mini Program

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