sowonny's Stars
kholia/OSX-KVM
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.
shenmishajing/lightning_template
A generic project template lib based on pytorch lightning for project-template
victoresque/pytorch-template
PyTorch deep learning projects made easy.
kuielab/lg_dacon_competition_template
A hydra integrated template for LG-Dacon Competetion
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
learnables/learn2learn
A PyTorch Library for Meta-learning Research
GMvandeVen/continual-learning
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.
XDZhelheim/Torch-MTS
My personal PyTorch framework for multivariate time series forecasting.
GestaltCogTeam/BasicTS
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
wannesm/dtaidistance
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
Maghoumi/pytorch-softdtw-cuda
Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch
romilbert/samformer
Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Forecasting.
lss-1138/SparseTSF
[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 Weiwei Lin (linww@scut.edu.cn), South China University of Technology; Pengcheng Laboratory.
SalesforceAIResearch/uni2ts
Unified Training of Universal Time Series Forecasting Transformers
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Hank0626/PDF
An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)
xinliangzhou/Survey
This is a repository contains materials for future survey submission
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
YooSungHyun/pytorch-trainer
torch 2.0 and cpu, ddp, deepspeed trainer template
vihari/CSD
Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12815)
vigor-jzhang/icc-regularizer
Codebase for the NeurIPS 2023 paper "Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer"
jameschapman19/cca_zoo
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
lauramanduchi/DC-GMM
This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
benathi/word2gm
Word to Gaussian Mixture Model
wentaoyuan/deepgmr
PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)
bobondemon/GMMMAP
MAP Adaptation for GMM
NonlinearTime/GMM_Online_Algorithm
Online version of GMM algorithm, for real-time clastering, includes online EM algorithm and the algorithm proposed by Arnaud Declercq and Justus H. Piater
prabhav-patil/Online-Gaussian-Mixture-Models
An attempt at researching and developing an online model for (adaptive) GMM.
junkunyuan/Awesome-Domain-Generalization
Awesome things about domain generalization, including papers, code, etc.