MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Open-source SenseVoiceSmall model for Mandarin, Cantonese, English, Japanese, and Korean ASR, language ID, emotion recognition, and audio event detection.

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

Time-Series-Optimized Transformer for Observability

Repository for "FreDF: Learning to Forecast in the Transformed Domain"

Repository for "FreDF: Learning to Forecast in the Transformed Domain"

A Library for Advanced Deep Time Series Models.

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

Bandit Optimization Aglorithms and Envelope Analysis based Methods for Machinery Fault Diagnosis

Variational mode decomposition (VMD) in Python

FITS: Frequency Interpolation Time Series Analysis Baseline

Python implementation of Empirical Mode Decompoisition (EMD) method

Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting

low-pass filtering for image implemented by pytorch, including ideal, butterworth and gaussian filters.

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

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 …

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

Experimental code to read/write NumPy .NPY files in MATLAB

一些有关长时间序列预测、CV和机器学习的论文中译版

Foundation Models for Time Series