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ZLiu21 / Scale-teaching
Forked from qianlima-lab/Scale-teachingThis is an official pytorch implementation for paper "Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels" (NeurIPS-23).
Code repo for "LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners"
This is an official pytorch implementation for paper "Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels" (NeurIPS-23).
This is an official pytorch implementation for paper "Learning Soft Sparse Shapes for Efficient Time-Series Classification" (ICML-25, Spotlight).
An awesome project on irregular time series and incomplete time series
[TMLR 2024] Official implementation of "NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining".
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
This repository collects awesome survey, resource, and paper for lifelong learning LLM agents
Latex CV template built with Font Awesome.
📄 Awesome CV is LaTeX template for your outstanding job application
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-24).
This is an official pytorch implementation for paper "CTW: Confident Time-Warping for Time-Series Label-Noise Learning" (IJCAI-23).
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
Acceptance rates for the major AI conferences
An up-to-date list of time-series related papers in AI venues.
This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).
A toolkit for machine learning from time series
This is an official pytorch implementation for paper "Temporal-Frequency Co-training for Time Series Semi-supervised Learning" (AAAI-23).
A unified framework for machine learning with time series
The Excel add-in for creating LaTeX tables
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
This curated list contains python packages for time series analysis
Please refer to https://github.com/qianlima-lab/transfer-to-transformer-tsm
Deep Learning for Time Series Classification
Official PyTorch implementation of the “A Unified Transformer Framework for Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection”. (TMM2023)
Generic implementation for clustering with deep learning : representation learning (DNN) + clustering