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Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024
Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
[NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
PyCIL: A Python Toolbox for Class-Incremental Learning
Development kit for the CLVISION @ CVPR 2023 Challenge
Code for Paper: Autonomous Evaluation and Refinement of Digital Agents [COLM 2024]
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.
Implementation of triplet loss in TensorFlow
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Benchmark for Data-Efficient Image Classification
TARDIS: Topological Algorithms for Robust DIscovery of Singularities
Awesome Fine-grained Visual Classification
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
Pytorch implementation of TPAMI2023: CMW-NetCMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning
[CVPR 2023] This repository contains code for the paper "FCC: Feature Clusters Compression for Long-Tailed Visual Recognition", accepted by CVPR 2023
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
A curated list of awesome self-supervised methods
This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
Everything you need about Active Learning (AL).