Stars
Awesome papers on weight-space learning
A pipeline parallel training script for diffusion models.
Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)
Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)
This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Le…
PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
Continual Forgetting for Pre-trained Vision Models (CVPR 2024)
PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
Optimization with orthogonal constraints and on general manifolds
Code release for "Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation" (NeurIPS 2023)
Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
Isomorphisms of quiver representations applied to neural networks.
[NeurIPS 2022] Symmetry Teleportation for Accelerated Optimization
Code for 2023 ICCV paper 'Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection'
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning
PyTorch implementation of our TPAMI paper "Variational Data-Free Knowledge Distillation for Continual Learning"
A PyTorch framework for Continual Learning research.
The official implementation of the CVPR'2023 work Adaptive Plasticity Improvement for Continual Learning
Code accompanying "Random initialisations performing above chance and how to find them", for paper see https://arxiv.org/abs/2209.07509
Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch