Stars
Official repository for "CLIP model is an Efficient Continual Learner".
BANMo Building Animatable 3D Neural Models from Many Casual Videos
A PyTorch Library for Meta-learning Research
MetaModule provides extensions of PyTorch Module for meta learning
NeSC-IV / LVI-SAM-Easyused
Forked from Cc19245/LVI-SAM-EasyusedLVI-SAM for easier using (更简单的使用LVI-SAM的方法)
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
[AAAI2024] Summarizing Stream Data for Memory-Restricted Online Continual Learning
The Synthetic Digits dataset for domain adaptation (PyTorch).
The MNIST-M dataset for domain adaptation (PyTorch).
Domain adaptation made easy. Fully featured, modular, and customizable.
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" in PyTorch
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Awesome things about domain generalization, including papers, code, etc.
Python sample codes and textbook for robotics algorithms.
Generative Diffusion Prior for Unified Image Restoration and Enhancement (CVPR2023)
Demonstrations of Loss of Plasticity and Implementation of Continual Backpropagation
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.