sjqgithub

ccf2016_sougou

ccf2016 sougou final winner solution

DeepLearningPractice2017

kaggle-house-prices

rquestions

Expert recommendation on R programming language

SmpCup2016

2nd Place Solution for SMP CUP 2016

Text_Classification_IMDB

Text Classification/Sentiment Analysis using IMDB Datasets

20_newsgroup

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

algs4

Algorithms, 4th edition textbook libraries

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

CNN-for-Sentence-Classification-in-Keras

Convolutional Neural Networks for Sentence Classification in Keras

Crepe

Character-level Convolutional Networks for Text Classification

cs231n.github.io

Public facing notes page

gensim

Topic Modelling for Humans

GetHandsDirty

get hands dirty

Hello-World

This Repository is mainly for Git practice.

keras

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

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

scikit-learn

scikit-learn: machine learning in Python

sentence_classification

sentence classification using CNN/LSTM/GRU

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

ThinkBayes

Code repository for Think Bayes.

torch7

http://torch.ch

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