20_newsgroup

using-pre-trained-word-embeddings-in-a-keras-model

algs4

Algorithms, 4th edition textbook libraries

ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

bionlp-st2016

ccf2016_sougou

ccf2016 sougou final winner solution

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

clrs

:notebook:Solutions to Introduction to Algorithms

cnn-for-sentence-classification-in-keras

Convolutional Neural Networks for Sentence Classification in Keras

crepe

Character-level Convolutional Networks for Text Classification

cs231n

Convolutional Neural Networks Assignments

cs231n.github.io

Public facing notes page

deeplearningpractice2017

dotfiles

My dotfiles. Mainly customisations for Vim and Bash.

gensim

Topic Modelling for Humans

gephi

trunk

gethandsdirty

get hands dirty

hello-world

This Repository is mainly for Git practice.

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

interview_python

关于Python的面试题

kaggle-house-prices

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

leetcode

LeetCode题解，151道题完整版

libsvm

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.

machine-learning-practice

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

prml

PRML algorithms implemented in Python

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

rquestions

Expert recommendation on R programming language