Cola-kk

Cola-kk's Stars

• Actor12/sodic-resumematch

  sodic举办的人岗精准匹配竞赛，赛题任务是：给定用户和投递岗位特征，推理用户简历是否会通过。

  Language:Jupyter Notebook91

• threeStoneLei1/FedPA

  Language:Python2

• juzstu/TianChi_ZhiLianZhaoPin

  第二届阿里巴巴大数据智能云上编程大赛-智联招聘人岗智能匹配

  Language:TSQL6628

• dipamgoswami/ADC

  Code for CVPR 2024 paper - Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning

  Language:Python22

• MediaBrain-SJTU/FedGELA

  [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data

  Language:Python12

• RUCAIBox/RecBole-PJF

  Language:Python5611

• RUCAIBox/DPGNN

  Codes of Modeling Two-Way Selection Preference for Person-Job Fit

  Language:Python3111

• isCDX2/DYSON

  Language:Python41

• luopanyaxin/Federated-Continual-Learning

  Language:Python112

• sahagobinda/GPM

  Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"

  Language:Python8816

• Ghy0501/PILoRA

  PyTorch implementation of "PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning"

  Language:Python9

• jinyi-yoon/Pick-a-back

  Language:Python23

• duygunuryldz/Federated_Orthogonal_Training

  Language:Python81

• linghan1997/Regression-based-Analytic-Incremental-Learning

  Language:Python16

• yonseivnl/earl

  Language:Python133

• SkyOfBeginning/FedMGP

  Language:Python51

• P0werWeirdo/TagFCL

  This is the formal code implementation of the CVPR 2024 paper 'Traceable Federated Continual Learning'.

  Language:Python10

• ShiWuxuan/ICCV2023-PRAKA

  [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning

  Language:Python201

• ShiWuxuan/NeurIPS2024-PRL

  [NeurIPS2024] Prospective Representation Learning for Non-Exemplar Class-Incremental Learning

  3

• bwnzheng/MRFA_ICML2024

  Language:Python7

• GregoirePetit/FeTrIL

  Feature Translation for Exemplar-Free Class-Incremental Learning

  Language:Python411

• TPCD/FedGCD

  1

• xialeiliu/Long-Tailed-CIL

  Language:Python461

• jinglin-liang/DDDR

  Language:Python16

• zhoudw-zdw/CIL_Survey

  Class-Incremental Learning: A Survey (TPAMI 2024)

  Language:Python22524

• zugexiaodui/VPTinNSforCL

  Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)

  Language:Python91

• Li-Hyn/LLM_CatastrophicForgetting

  Code for LLM_Catastrophic_Forgetting via SAM.

  Language:Python8

• linhaowei1/CLoG

  ✌ CLoG: Benchmarking Continual Learning of Image Generation Models

  Language:Python164

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.9k579

• NiccoloCavagnero/PEM

  PEM: Prototype-based Efficient MaskFormer for Image Segmentation

  Language:Python836