Pinned Repositories
aNewANN-SNNConversionMethod
This is a project for our paper A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness in IJCAI2023
Cutout
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
jd_seckill
京东秒杀商品抢购
project-based-learning
Curated list of project-based tutorials
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
QuelThalasGrace's Repositories
QuelThalasGrace/aNewANN-SNNConversionMethod
This is a project for our paper A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness in IJCAI2023
QuelThalasGrace/Cutout
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
QuelThalasGrace/jd_seckill
京东秒杀商品抢购
QuelThalasGrace/project-based-learning
Curated list of project-based tutorials
QuelThalasGrace/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
QuelThalasGrace/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
QuelThalasGrace/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
QuelThalasGrace/Book
:green_book:我的个人书籍学习和收藏