Library for automatic retraining and continual learning

Dans mon défi de développement et d'amélioration quotidienne, je vous présente "One Commit Per Day". Ce projet va au-delà d'un simple dépôt GitHub ; il incarne mon engagement quotidien envers l'amélioration continue de mes compétences en programmation. Chaque jour, un nouveau commit marque ma progression continue et ma passion pour le codage.

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

collection of diffusion model papers categorized by their subareas

A curated list of Continual Learning papers and BibTeX entries

Continual Learning of Large Language Models: A Comprehensive Survey

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"

Rehearsal backend focused on performance, written in C++

Towards Rehearsal-based Continual Learning at Scale: distributed CL with Horovod + PyTorch

A library for benchmarking the Long Term Memory and Continual learning capabilities of LLM based agents. With all the tests and code you need to evaluate your own agents. See more in the blogpost:

Continual Forgetting for Pre-trained Vision Models (CVPR 2024)

Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

[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