An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
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Updated
Jul 1, 2024 - Python
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
(CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"
Towards Rehearsal-based Continual Learning at Scale: distributed CL with Horovod + PyTorch
Continual Forgetting for Pre-trained Vision Models (CVPR 2024)
Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)
[Thesis'24] Efficient Class Incremental Learning for Object Detection
incremental learning experiments
Random forests for continual learning via generative replay
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Code for the paper "FOCIL: Finetune-and-Freeze for Online Class-Incremental Learning by Training Randomly Pruned Sparse Experts"
Continual Learning with KAN based ViT to mitigate catastrophic forgetting
Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"
[J. Imaging 2023] The official repository for paper CL3: Generalization of Contrastive Loss for Lifelong Learning J. Imaging 2023, 9(12), 259; https://doi.org/10.3390/jimaging9120259
[Neural Networks 2023] The official repository of Neural Networks Journal "Subspace Distillation for Continual Learning"
[ACL2024] A Codebase for Incremental Learning with Large Language Models; Official released code for "Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models (ACL 2024)", "Incremental Sequence Labeling: A Tale of Two Shifts (ACL 2024 Findings)", and "Concept-1K: A Novel Benchmark for Instance Incremental Learning (arxiv)"
The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.
A Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion
[KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation
Library for automatic retraining and continual learning
✌ CLoG: Benchmarking Continual Learning of Image Generation Models
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