laisun

2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2014_data

Data directory for the CS109 Data Science course

5th_place_solution_facebook_check_ins

My solution rank 5th/1212 in Facebook check ins prediction competition at Kaggle

abcnn-keras

Keras implementation of ABCNN by Yin & Schütze (WIP)

AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

Agriculture_KnowledgeGraph

农业知识图谱(KG)：农业领域的信息检索，命名实体识别，关系抽取，分类树构建，数据挖掘

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

algorithms-data-structures

Continually updated Python Notebooks containing coding problems and solutions (algorithms and data structures).

mlstudy

mlstudy

laisun/2014_data

Data directory for the CS109 Data Science course

laisun/AlwaysRemember

Zipfian capstone project - Dan Morris

laisun/darts-clone

A clone of Darts (Double-ARray Trie System)

laisun/datrie

Fast, efficiently stored Trie for Python. Uses libdatrie.

laisun/deep-recurrent

Deep bidirectional recurrent net for opinion mining (code for EMNLP14 paper)

laisun/DeepLearningMovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

laisun/dictionarylearning

Online learning of sparse dictionaries

laisun/doc-ml-ufldl

Unsupervised Feature Learning and Deep Learning Tutorial

laisun/EnsembleSVM

A Library for Ensemble Learning Using Support Vector Machines

laisun/FactorizationMachine

laisun/koan

laisun/MachineLearning-C---code

using c++ code to show the example of machine learning

laisun/maxent

Maximum Entropy Modeling Toolkit for Python and C++

laisun/neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

laisun/new-words-discovery

新词发现

laisun/nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

laisun/plda

Automatically exported from code.google.com/p/plda

laisun/Predict-click-through-rates-on-display-ads

Display advertising is a billion dollar effort and one of the central uses of machine learning on the Internet. However, its data and methods are usually kept under lock and key. In this research competition, CriteoLabs is sharing a week’s worth of data for you to develop models predicting ad click-through rate (CTR). Given a user and the page he is visiting, what is the probability that he will click on a given ad? The goal of this challenge is to benchmark the most accurate ML algorithms for CTR estimation. All winning models will be released under an open source license. As a participant, you are given a chance to access the traffic logs from Criteo that include various undisclosed features along with the click labels.

laisun/pu-learning

Positive and unlabeled learning wrappers for scikit-learn

laisun/pydata-book

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

laisun/semi-supervised-lda

Automatically exported from code.google.com/p/semi-supervised-lda

laisun/sentence2vec

Tools for mapping a sentence with arbitrary length to vector space

laisun/simhash_server

laisun/SVDRecommenderSystem

将SVD应用于推荐系统中的评分预测问题

laisun/test

laisun/textrank

TextRank implementation in Python.

laisun/tgrocery-docs

TextGrocery的文档，使用sphinx

laisun/Theano-Tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

laisun/theano_exercises

Exercises for my tutorials on Theano

laisun/xgboost

eXtreme Gradient Boosting (GBDT, GBRT or GBM) Library for large-scale and distributed machine learning, on single node, hadoop yarn and more.