Pinned Repositories
image_retrieval
Image retrieval system demo based on caffe and lsh
my_application
002_MachineLearning_eBook
aerosolve
A machine learning package built for humans.
awesome-deep-learning-papers
The most cited deep learning papers
awesome-free-deep-learning-papers
chainer-fast-neuralstyle
Chainer implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution".
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
CNN_sentence
CNNs for sentence classification
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
csh2015's Repositories
csh2015/gluon-tutorials-zh
通过MXNet/Gluon来动手学习深度学习
csh2015/ttsx2
csh2015/ttsx1-csh
csh2015/LeetCode-1
:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions
csh2015/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
csh2015/Play-with-Algorithms
Code of my MOOC Course <Play with Algorithms>, Both in C++ and Java. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
csh2015/nmt-seq2seq
seq2seq model written in Pytorch
csh2015/leetcode
LeetCode Problems' Solutions
csh2015/The-Art-Of-Programming-By-July
本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售
csh2015/practical_seq2seq
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
csh2015/awesome-deep-learning-papers
The most cited deep learning papers
csh2015/easy_seq2seq
[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq
csh2015/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
csh2015/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
csh2015/WDXpeak
我的各类笔记（~ 至 2016.12）
csh2015/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
csh2015/nltk
NLTK Source
csh2015/scikit-learn
scikit-learn: machine learning in Python
csh2015/deeplearningbook-chinese
Deep Learning Book Chinese Translation
csh2015/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
csh2015/CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
csh2015/tensorflow
Computation using data flow graphs for scalable machine learning
csh2015/superset
Superset is a data exploration platform designed to be visual, intuitive, and interactive
csh2015/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
csh2015/DeepLearningBook
MIT Deep Learning Book in PDF format
csh2015/Machine-Learning-with-R-datasets
Formatted datasets for Machine Learning With R by Brett Lantz
csh2015/cs231n.github.io
Public facing notes page
csh2015/neural-style
Neural style in TensorFlow! :art:
csh2015/aerosolve
A machine learning package built for humans.
csh2015/LintCodeInPython