4vicii

ccf-deadlines

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

Awesome-Incremental-Learning

Awesome Incremental Learning

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

DomainBed

DomainBed is a suite to test domain generalization algorithms

math

The MATH Dataset (NeurIPS 2021)

PyTorch-Pretrained-ViT

Vision Transformer (ViT) in PyTorch

MergeLM

Codebase for Merging Language Models (ICML 2024)

task_vectors

Editing Models with Task Arithmetic

vision-transformer-pytorch

Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.

LAMDA-PILOT

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Five-year-algorithm-interview-three-year-simulation

算法岗笔试面试大全，励志做算法届的《五年高考，三年模拟》！

MoE-Adapters4CL

Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024

submodlib

Summarize Massive Datasets using Submodular Optimization

S-Prompts

Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“

vit-finetune

Fine-tuning Vision Transformers on various classification datasets

ZSCL

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models

HiDe-Prompt

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)

DoPrompt

Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"

SDViT

Official repository for "Self-Distilled Vision Transformer for Domain Generalization" (ACCV-2022 ORAL)

MQNet

SLCA

Codes for ICCV 2023 paper: SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model

RanPAC

Contrastive_AutoEval

Our code for ICCV'23 paper "CAME: Contrastive Automated Model Evaluation".

TPL

✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction

Awesome-Video-LLMs

Explore VLM-Eval, a framework for evaluating Video Large Language Models, enhancing your video analysis with cutting-edge AI technology.

TFS-ViT_Token-level_Feature_Stylization

awesome_moe

The collections of MOE (Mixture Of Expert) papers, code and tools, etc.

An-Efficient-Dataset-Condensation-Plugin

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023

Active-OpenSet-NEAT

This is the official website for the implementation of the "Inconsistency-Based Data-Centric Active Open-Set Annotation" method, as presented in the AAAI 2024 paper.

Awesome-Continual-learning-of-Vision-Language-Models