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royshan's Projects

convnetjs icon convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cpyp icon cpyp

C++ library for modeling with Pitman-Yor processes

d-script icon d-script

Writer Identification of Handwritten Documents

da-rnn icon da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

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

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

datacleaner icon datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

deep-semantic-similarity-model icon deep-semantic-similarity-model

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

deep-siamese-text-similarity icon deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character embeddings

deep_qa icon deep_qa

Using deep learning to answer Aristo's science questions

deeptime icon deeptime

PyTorch code for DeepTIMe: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting

devol icon devol

Automated deep neural network design via genetic algorithms

dgk_lost_conv icon dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

dtcleaner icon dtcleaner

DTCleaner: data cleaning using multi-target decision trees.

expert-system-shell icon expert-system-shell

This is a rule-based logic system that uses forward- and backward-chaining algorithms to do two things: 1.) learn new rules and variable values based on those previously learned by the system, and 2.) explain its reasoning back to the user.

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