Pinned Repositories
Amphion
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
angular
One framework. Mobile & desktop.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
brpc
brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".
CANE
Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"
CENE
A network embedding project to learn the representation of nodes in a network by leveraging both structure and content information
cloud-fetch
华为云CloudIDE插件
cudamat
Python module for performing basic dense linear algebra computations on the GPU using CUDA.
deeplearningbook-chinese
Deep Learning Book Chinese Translation
free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍,欢迎投稿
XavierGithub's Repositories
XavierGithub/angular
One framework. Mobile & desktop.
XavierGithub/cudamat
Python module for performing basic dense linear algebra computations on the GPU using CUDA.
XavierGithub/deeplearningbook-chinese
Deep Learning Book Chinese Translation
XavierGithub/deepwalk
DeepWalk - Deep Learning for Graphs
XavierGithub/dl_tutorials
Deep learning tutorials (2nd ed.)
XavierGithub/Neural_NetWork
BP神经网络
XavierGithub/node2vec
XavierGithub/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
XavierGithub/RecommenderSystem
推荐系统 web 数据挖掘大作业
XavierGithub/simple-neural-network
A neural network written in Python, consisting of a single neuron that uses back propagation to learn.
XavierGithub/SupportVectorMachines
Use support vector machine to build a spam classifier
XavierGithub/svinet
This package implements algorithms for identifying overlapping communities in large undirected networks. The sampling based algorithms derive from stochastic variational inference under the (assortative) mixed-membership stochastic blockmodel. For details see the following reference: http://www.pnas.org/content/early/2013/08/14/1221839110.full.pdf
XavierGithub/TADW
code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"
XavierGithub/word2vec
Python interface to Google word2vec