zchaizju
Ph.D. Candidate in ZJU Interested in Machine Learning and Data Mining.
Zhejiang UniversityHangzhou
Pinned Repositories
2018-IJCAI-top3
This 2018 IJCAI alimama Top3 Code
AlexNet
Broad-Learning-System
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
LeetCode
LeetCode using Python3
LeNet-5
Machine-Learning
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Random-Forests
zchaizju's Repositories
zchaizju/Broad-Learning-System
zchaizju/Machine-Learning
zchaizju/2018-IJCAI-top3
This 2018 IJCAI alimama Top3 Code
zchaizju/Random-Forests
zchaizju/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
zchaizju/LeNet-5
zchaizju/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
zchaizju/LeetCode
LeetCode using Python3
zchaizju/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
zchaizju/AlexNet
zchaizju/baidupcs-web
zchaizju/diabetic_study
对糖尿病数据集的研究
zchaizju/GBDT
A simple GBDT in Python
zchaizju/Heatmap
Heatmap approach for Fashion AI keypoint Challenge
zchaizju/medgan
Generative adversarial network for generating electronic health records.
zchaizju/python-cookbook
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
zchaizju/ResNeXt
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
zchaizju/SAE
Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017
zchaizju/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
zchaizju/Word-Ladder
zchaizju/Xlearn
Transfer Learning Library