ffeng1017/Awesome-Incremental-Learning
Awesome Incremental Learning
Awesome Incremental Learning
A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
Relevant papers in Continual Learning
Additive Gaussian Process Bandits - version 1.0
A curated list of research papers in exploring causality in vision. Link to the code if available is also present.
Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)
Continual Learning Toolbox for Computer Vision Tasks
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).
Evaluate three types of task shifting with popular continual learning algorithms.
Code repository for Ensemble Bayesian Optimization
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
A curated list of resources dedicated to bayesian deep learning
2020新冠肺炎记忆:传媒报道与非虚构写作(持续更新)Memory of 2020 nCov: Media reports and Non-fiction Writings (Continuously updating)