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Official repository for "CLIP model is an Efficient Continual Learner".

Python 88 3 Updated Dec 13, 2022

BANMo Building Animatable 3D Neural Models from Many Casual Videos

Python 543 58 Updated Jan 19, 2024

A PyTorch Library for Meta-learning Research

Python 2,710 357 Updated Jun 7, 2024

MetaModule provides extensions of PyTorch Module for meta learning

Python 42 8 Updated Dec 16, 2022

Awesome Incremental Learning

3,922 579 Updated Jan 2, 2025

LVI-SAM for easier using (更简单的使用LVI-SAM的方法)

C++ 11 Updated Dec 5, 2023
Python 152 25 Updated Dec 31, 2019

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Python 2,353 422 Updated May 16, 2019
Python 13 3 Updated Sep 12, 2024

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

Python 108 13 Updated Oct 18, 2023

[AAAI2024] Summarizing Stream Data for Memory-Restricted Online Continual Learning

Python 20 3 Updated Apr 30, 2024

The Synthetic Digits dataset for domain adaptation (PyTorch).

Python 10 Updated Oct 8, 2020

The MNIST-M dataset for domain adaptation (PyTorch).

Python 37 2 Updated Oct 8, 2020

Domain adaptation made easy. Fully featured, modular, and customizable.

Python 365 16 Updated Jan 30, 2023

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" in PyTorch

Python 9 Updated May 22, 2018

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Python 2,588 612 Updated Jan 19, 2020

Awesome things about domain generalization, including papers, code, etc.

411 44 Updated Jan 15, 2025

Python sample codes and textbook for robotics algorithms.

Python 24,178 6,653 Updated Feb 7, 2025
Python 78 3 Updated May 28, 2024

Generative Diffusion Prior for Unified Image Restoration and Enhancement (CVPR2023)

Shell 284 30 Updated Jul 18, 2023

Demonstrations of Loss of Plasticity and Implementation of Continual Backpropagation

Python 259 51 Updated Nov 3, 2024

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Jupyter Notebook 1,642 320 Updated Mar 21, 2024

Using BM3D to denoise

Python 217 53 Updated Apr 27, 2023