TimeSeriesSeq2Seq

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

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

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

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

A concise but complete full-attention transformer with a set of promising experimental features from various papers