Hongbo Zhao's repositories
continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
continual-learning-baselines
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
Continual-Learning-Benchmark
Evaluate three types of task shifting with popular continual learning algorithms.
Face-Transformer
Face Transformer for Recognition
github-readme-stats
:zap: Dynamically generated stats for your github readmes
insightface
State-of-the-art 2D and 3D Face Analysis Project
mmdetection
OpenMMLab Detection Toolbox and Benchmark
one-python-craftsman
来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
pytorch-meta-optimizer
A PyTorch implementation of Learning to learn by gradient descent by gradient descent