Anton's repositories
PatchTST
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
prql
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
ModernTCN
This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU
UniTime_for_Kaggle
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting (WWW 2024)
GTT
Codebase for General Time Transformer - Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
uni2ts
Unified Training of Universal Time Series Forecasting Transformers
ATFNet
Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
skpro
A unified framework for tabular probabilistic regression and probability distributions in python
chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
SparseTSF
[ICML 2024] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters"
SegRNN
The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting."
wandb
отслеживание потребления вычислительных ресурсов?
Scrapegraph-ai
Python scraper based on AI
timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
nixtla
Python SDK for TimeGPT, a foundational time series model
TSFpaper
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.
GPT4TS
fork official repository One Fits All: Power General Time Series Analysis by Pretrained LM
SimMTM
About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861
TFB
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://arxiv.org/pdf/2403.20150.pdf
generative-ai-on-aws
Generative AI on AWS
TimeMixer
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
AutoTimes
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
Time-Series-Library
A Library for Advanced Deep Time Series Models.