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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
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
Scalable and user friendly neural 🧠 forecasting algorithms.
An up-to-date list of time-series related papers in AI venues.
《Deep Learning Tuning Playbook》中文翻译版本
Data, Benchmarks, and methods submitted to the M4 forecasting competition
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 …
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A Modified Toolbox for Broad Learning System, with sklearn liked APIs and Codes. Now BLS, Stacked-BLS, BLS-AE are Released.
A toolkit for machine learning from time series
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
[VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
[Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
The machine learning toolkit for time series analysis in Python
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
A python library for user-friendly forecasting and anomaly detection on time series.
A Library for Advanced Deep Time Series Models.