Unsupervised Image-to-Image Translation

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Conditional Associative Logic Memory

Deep Learning Computer Vision Algorithms for Real-World Use

Symmetry detection using Cython/Python

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neu…

Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"

Random memory adaptation model inspired by the paper: "Memory-based parameter adaptation (MbPA)"

(RecSys 2020) Adaptively Distilled Exemplar Replay towards Continual Learning for Session-based Recommendation [Best Short Paper]

Variational Auto-Regressive Gaussian Processes for Continual Learning

Example notebooks for the scivision project