Official implementation of NeurIPS 2025, "Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation".

[ICCV 2025] Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection

[CVPR2024] Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation

[ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

[CVPR 2022] Official CoTTA Code for our paper Continual Test-Time Domain Adaptation

List of papers that combine self-supervision and continual learning

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

A repository and benchmark for online test-time adaptation.

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Code implementation for "Continual Semi-Supervised Learning through Contrastive Interpolation Consistency"

pix2tex: Using a ViT to convert images of equations into LaTeX code.

[ICCV 2023 Oral] Official PyTorch implementation of our paper for semi-supervised continual learning "A soft nearest-neighbor framework for continual semi-supervised learning".

This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

Implementation of k-means with cosine distance as distance metric

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Analyzing partial dimensional collapse in non-contrastive self-supervised learning. "Understanding Collapse in Non-Contrastive Siamese Representation Learning." In ECCV, 2022.

Kolmogorov Arnold Networks

PyTorch implementation of Masked Autoencoder

Pathology Foundation Model - Nature Medicine

FFCV: Fast Forward Computer Vision (and other ML workloads!)

Workaround for the raised toolchain requirements of VS Code Server 1.86+

appunti Computational Mathematics for learning and data analysis (Unipi)

Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)

[CLVision 2023] SCALE: Online Self-Supervsed Lifelong Learning without Prior Knowledge

Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)

🤖 Machine Learning Summer School Guide

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

PyTorch implementation of Barlow Twins.