ruoccoma

ruoccoma's Stars

• codekansas/keras-language-modeling

  :book: Some language modeling tools for Keras

  Language:Python657170

• linanqiu/word2vec-sentiments

  Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")

  Language:Jupyter Notebook689248

• hidasib/GRU4Rec

  GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

  Language:Python751223

• codekansas/insurance_qa_python

  Python-formatted InsuranceQA data

  4612

• shuzi/insuranceQA

  A question answering corpus in insurance domain

  448169

• dennybritz/deeplearning-papernotes

  Summaries and notes on Deep Learning research papers

  4.4k905

• alex-berard/multivec

  A Multilingual and Multilevel Representation Learning Toolkit for NLP

  Language:C++11731

• idio/wiki2vec

  Generating Vectors for DBpedia Entities via Word2Vec and Wikipedia Dumps. Questions? https://gitter.im/idio-opensource/Lobby

  Language:Java601137

• nmslib/nmslib

  Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

  Language:C++3.4k446

• FALCONN-LIB/FALCONN

  FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

  Language:C1.1k192

• outstandingcandy/dssm

  Deep structured semantic model

  Language:Python3221

• airalcorn2/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.

  Language:Python518186

• microsoft/CNTK

  Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

  Language:C++17.5k4.3k

• spotify/annoy

  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  Language:C++13.1k1.2k

• fchollet/deep-learning-models

  Keras code and weights files for popular deep learning models.

  Language:Python7.3k2.5k

• ryankiros/visual-semantic-embedding

  Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

  Language:Python425126

• farizrahman4u/seq2seq

  Sequence to Sequence Learning with Keras

  Language:Python3.2k845

• julienr/ipynb_playground

  Various ipython notebooks

  Language:Jupyter Notebook1.5k275

• kevinlin311tw/cvpr16-deepbit

  Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks (CVPR16)

  Language:C++17478