Stars
[WACV 2025] Official implementation of "Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation" by Xiwen Wei, Guihong Li and Radu Marculescu
[AAAI2024] Summarizing Stream Data for Memory-Restricted Online Continual Learning
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
A curated list of neural network pruning resources.
Awesome Knowledge Distillation
A curated list of awesome papers on dataset distillation and related applications.
嵌入式linux软件开发、嵌入式linux驱动开发、c语言、单片机开发、IOT开发等面试要点记录
Checkpoints, logs and source code for AAAI-23 paper 'Data-Efficient Image Quality Assessment with Attention-Panel Decoder'
NTIRE 2021, Image Quality Assessment Challenge (MACS team)
Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch
Source code for the "Prediction Error-based Classification for Class-Incremental Learning" paper, ICLR 2024
[ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
[ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning
PyContinual (An Easy and Extendible Framework for Continual Learning)
[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
Official repository for Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning on ICCV 2023
Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
Codebase for "Online Continual Learning with Maximally Interfered Retrieval"