Alternatives and similar repositories for CoFiMA

Users that are interested in CoFiMA are comparing it to the libraries listed below

• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆52Updated 4 months ago
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated 8 months ago
• simomagi / elastic_feature_consolidation
  [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
  ☆29Updated 2 months ago
• LAMDA-CL / RevisitingCIL
  Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
  ☆148Updated 11 months ago
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆96Updated last year
• ryongithub / GatedPromptTuning
  ☆53Updated last year
• McDonnell-Research-Lab / RanPAC
  RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper
  ☆52Updated 5 months ago
• kangzhiq / NNCSL
  [ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework f…
  ☆23Updated 7 months ago
• taeckyung / SoTTA
  This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …
  ☆22Updated last year
• NeuralCollapseApplications / FSCIL
  [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…
  ☆89Updated last year
• liangyanshuo / InfLoRA
  The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning
  ☆84Updated 4 months ago
• grypesc / SEED
  ICLR2024 paper on Continual Learning
  ☆36Updated last year
• GT-RIPL / CODA-Prompt
  PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
  ☆145Updated last year
• Zhanxin-Gao / CPrompt
  Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]
  ☆34Updated last month
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated last year
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆41Updated last year
• XueJiang16 / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆27Updated 9 months ago
• KU-VGI / Si-Blurry
  Official repository for Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning on ICCV 20…
  ☆27Updated 9 months ago
• naver-ai / dap-cl
  Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
  ☆43Updated last year
• jusiro / CLAP
  [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…
  ☆75Updated last month
• vgthengane / Continual-CLIP
  Official repository for "CLIP model is an Efficient Continual Learner".
  ☆97Updated 2 years ago
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆66Updated last year
• zhangmarvin / memo
  ☆67Updated 2 years ago
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆50Updated 2 years ago
• hee-suk-yoon / C-TPT
  [ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"
  ☆18Updated last year
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆86Updated 8 months ago
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆51Updated 11 months ago
• daeunni / BECoTTA
  Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".
  ☆42Updated last year
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆52Updated last year
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆66Updated 6 months ago