Pinned Repositories
DANet
Deep Attractor Network (DANet) for single-channel speech separation
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，50余万字。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
DeWave
Single-channel blind source separation
have-fun-with-machine-learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
ILRMA
Copyright 2018 Daichi Kitamura. These programs are distributed only for academic research at universities and research institutions. It is not allowed to use or modify these programs for commercial or industrial purpose without our permission. When you use or modify these programs and write research articles, cite the following references: D. Kitamura, N. Ono, H. Sawada, H. Kameoka, H. Saruwatari, "Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization," IEEE/ACM Trans. ASLP, vol. 24, no. 9, pp. 1626-1641, September 2016. D. Kitamura, N. Ono, H. Sawada, H. Kameoka, H. Saruwatari, "Determined blind source separation with independent low-rank matrix analysis," Audio Source Separation. Signals and Communication Technology., S. Makino, Ed. Springer, Cham, pp. 125-155, March 2018.
ldpc-hard-matlab
LearnedFactorGraphs
OLTD-code
The code for online learning of trellis diagram
Python
All Algorithms implemented in Python
Python-crawler-tutorial-starts-from-zero
python爬虫教程，带你从零到一，包含js逆向，selenium, tesseract OCR识别,mongodb的使用，以及scrapy框架
JayYang-Fdu's Repositories
JayYang-Fdu/OLTD-code
The code for online learning of trellis diagram
JayYang-Fdu/DANet
Deep Attractor Network (DANet) for single-channel speech separation
JayYang-Fdu/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，50余万字。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
JayYang-Fdu/DeWave
Single-channel blind source separation
JayYang-Fdu/have-fun-with-machine-learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
JayYang-Fdu/ILRMA
Copyright 2018 Daichi Kitamura. These programs are distributed only for academic research at universities and research institutions. It is not allowed to use or modify these programs for commercial or industrial purpose without our permission. When you use or modify these programs and write research articles, cite the following references: D. Kitamura, N. Ono, H. Sawada, H. Kameoka, H. Saruwatari, "Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization," IEEE/ACM Trans. ASLP, vol. 24, no. 9, pp. 1626-1641, September 2016. D. Kitamura, N. Ono, H. Sawada, H. Kameoka, H. Saruwatari, "Determined blind source separation with independent low-rank matrix analysis," Audio Source Separation. Signals and Communication Technology., S. Makino, Ed. Springer, Cham, pp. 125-155, March 2018.
JayYang-Fdu/ldpc-hard-matlab
JayYang-Fdu/LearnedFactorGraphs
JayYang-Fdu/Python
All Algorithms implemented in Python
JayYang-Fdu/Python-crawler-tutorial-starts-from-zero
python爬虫教程，带你从零到一，包含js逆向，selenium, tesseract OCR识别,mongodb的使用，以及scrapy框架
JayYang-Fdu/Repository
大家想要什么其他的软件，可以提交Issues哦
JayYang-Fdu/Speech-Separation
Python scripts exploring sound separation using deep clustering
JayYang-Fdu/TensorFLow-Learning
B站上炼数成金的公开课笔记
JayYang-Fdu/text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
JayYang-Fdu/yangjie.github.io