Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

Demonstrations of Loss of Plasticity and Implementation of Continual Backpropagation

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Details of the datasets for Few-shot class-incremental audio classification

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Datasets, Transforms and Models specific to Computer Vision

The collection of 80*80-pixels bird-images from cub200-2011 dataset.

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning

Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

PyCIL: A Python Toolbox for Class-Incremental Learning

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

Latex code for making neural networks diagrams

some useful tools for research work

Latex code for making neural networks diagrams

论文写作与资料分享

a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.

This repository provide official implementation of the DPL method.

Probabilistic Modeling Toolkit for Matlab/Octave.

A header-only C++ library for numerical optimization --

mlpack: a fast, header-only C++ machine learning library

Open Source Computer Vision Library

markdown preview plugin for (neo)vim

Nodejs extension host for vim & neovim, load extensions like VSCode and host language servers.