Stars
We present a comprehensive and deep review of the HFM in challenges, opportunities, and future directions. The released paper: https://arxiv.org/abs/2404.03264
A Foundation Model for Multivariate Wearable Sensing of Physiological Signals.
Potential portfolio project for my time at DSR Berlin. Detecting sleep apnea from smartphone microphone recordings of sleep sounds.
Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.
A generic project template lib based on pytorch lightning for project-template
PyTorch deep learning projects made easy.
A hydra integrated template for LG-Dacon Competetion
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A PyTorch Library for Meta-learning Research
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
My personal PyTorch framework for multivariate time series forecasting.
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch
Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Forecasting.
[TPAMI 2025 & ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor …
Unified Training of Universal Time Series Forecasting Transformers
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
This is a repository contains materials for future survey submission
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
torch 2.0 and cpu, ddp, deepspeed trainer template
Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12815)
Codebase for the NeurIPS 2023 paper "Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer"
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)