qianlima-lab

awesome-lifelong-llm-agent. TPAMI 2026 | This repository collects awesome survey, resource, and paper for lifelong learning LLM agents

time-series-ptms. This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).

DTCR. The paper "Learning Representations for Time Series Clustering"

awesome-lifelong-learning-methods-for-llm. This repository collects awesome survey, resource, and paper for Lifelong Learning for Large Language Models. (Updated Regularly)

HiMatch. Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification

DiffShape. This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-24).

SoftShape. This is an official pytorch implementation for paper "Learning Soft Sparse Shapes for Efficient Time-Series Classification" (ICML-25, Spotlight).

Hi-Patch. This is an official pytorch implementation for paper "Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series" (ICML-25).

PyOmniTS. ⚠️ migrated to https://github.com/Ladbaby/PyOmniTS A Researcher-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!

Scale-teaching. This is an official pytorch implementation for paper "Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels" (NeurIPS-23).

UniShape. This is an official pytorch implementation for paper "A Unified Shape-Aware Foundation Model for Time Series Classification" (AAAI-26).

TS-TFC. This is an official pytorch implementation for paper "Temporal-Frequency Co-training for Time Series Semi-supervised Learning" (AAAI-23).

TSN. The paper "Triple-shapelet Networks for Time Series Classification"

ADSN. The paper "Adversarial Dynamic Shapelet Network"

CRLI. Python

ConvMESN. The code for paper "Convolutional Multi-timescale Echo State Network"

MISSL. The official pytorch implementation of our proposed model MISSL (ICDE-24).

TAMS-RNNs. Python

LIME-RNN. The code for paper "End-to-End Incomplete Time Series Modeling from Linear Memory of Latent Variables"

AJ-RNN. Tensorflow imeplementaion of AJ-RNN (Adversarial Joint-Learning Recurrent Neural Network ).

CTW. This is an official pytorch implementation for paper "CTW: Confident Time-Warping for Time-Series Label-Noise Learning" (IJCAI-23).

EMN. The coder for paper "Time series classification with Echo Memory Networks"

DBAK. The code for the paper "Dynamic Barycenter Averaging Kernel in RBF Networks for Time Series Classification"

MODE-LSTM. The repository for EMNLP 2020 accepted paper "MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification"

DeePrESN. MATLAB

codebase-for-incremental-learning-with-llm. [ACL2024] A Codebase for Incremental Learning with Large Language Models; Official released code for "Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models (ACL 2024)", "Incremental Sequence Labeling: A Tale of Two Shifts (ACL 2024 Findings)", and "Concept-1K: A Novel Benchmark for Instance Incremental Learning (arxiv)"

STCN. The paper "Self-Supervised Time Series Clustering withModel-based Dynamics"

SpanDLA. The paper "A Span-based Dynamic Local Attention Model for Sequential Sentence Classification" accepted by ACL-2021.

TPRNN. The repository for AAAI-20 accepted paper "Temporal Pyramid Recurrent Neural Network"

CET. [ACL2023] Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference

IERec. This repository contains the official implementation for paper “Interest Entropy: Rethinking Contrastive Learning for Sequential Recommendation with Interest Uncertainty”(KDD'26)

JobDA. Python

CATE. The paper "CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning" accepted by EMNLP2021.

CFNER. [EMNLP2022] Released code for paper "Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition"

MvDGAE. The paper "Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation" accepted by 2021 SIGKDD.

Hi-Time. Python