Pinned Repositories
ai-ml.club
A.M.C. - Artificial Intelligence & Machine Learning CLUB: Friends for Code, Paper, and Beers!🍻
Customer-value-Analysis-of-Airlines
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
GitExercise
Git exercise
Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.
python_77
This project is from 77
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
Underground-industry-data-analysis-project
Leona08's Repositories
Leona08/Underground-industry-data-analysis-project
Leona08/Customer-value-Analysis-of-Airlines
Leona08/ai-ml.club
A.M.C. - Artificial Intelligence & Machine Learning CLUB: Friends for Code, Paper, and Beers!🍻
Leona08/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Leona08/you-get
:arrow_double_down: Dumb downloader that scrapes the web
Leona08/python_77
This project is from 77
Leona08/GitExercise
Git exercise
Leona08/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
Leona08/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
Leona08/DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
Leona08/Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.