Nakols

HFformerV2

PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

time_series_forecasting

discrete

dain

Deep Adaptive Input Normalization for Time Series Forecasting

mvts_transformer

Multivariate Time Series Transformer, public version

DILATE

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

tft

Stock prediction thru TFT

TimeSeriesMoonlightBox

Time Series Analysis Models Source Code with Deep Learning Algorithms

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

query-selector

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

SCINet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

time-series-transformers-review

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

ETSformer-pytorch

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

ic-first-year-notes

Notes for first year Computing at Imperial College London

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

computer-science

🎓 Path to a free self-taught education in Computer Science!

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

PlasmaETHexchange

Plasma protocol compatible ETH Exchange Platform

finance

Financial modeling in R