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wuqixiaobai's Projects

competitive_dai icon competitive_dai

The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In line with this video : https://www.youtube.com/watch?v=qtUNyJlAID0&t=11s

cs231 icon cs231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datastream.io icon datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

deep-learning-demo icon deep-learning-demo

记录小润学习的深度学习例子,首先是 TensorFlow 和 Keras 框架,之后再补充 Theano/Torch

deeplearn icon deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

deeplearning_keras2 icon deeplearning_keras2

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

deeppath icon deeppath

code and docs for the paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

deepst icon deepst

Deep Learning for Spatio-Temporal Data

dig-openie icon dig-openie

Apply open information extraction technology to extract useful information for avoiding illegal human trafficking behaviors.

dp-sparse-mcs icon dp-sparse-mcs

code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16

eli5 icon eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

ensemble_amazon icon ensemble_amazon

Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition

entity2rec icon entity2rec

entity2rec generates item recommendation from knowledge graphs

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