time-series-autoencoder

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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

Statsmodels: statistical modeling and econometrics in Python

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

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

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

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

Probabilistic time series modeling in Python

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学