Alternatives and similar repositories for Deep-Learning

Users that are interested in Deep-Learning are comparing it to the libraries listed below

• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• vladsandulescu / topics
  Topic modeling with gensim and LDA
  ☆169Updated 8 years ago
• yuhui-lin / text-classification
  deep learning models for text classification written in TensorFlow(Python).
  ☆61Updated 3 years ago
• chaitjo / lstm-context-embeddings
  Augmenting word embeddings with their surrounding context using bidirectional RNN
  ☆60Updated 5 years ago
• hugochan / KATE
  Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"
  ☆146Updated 2 years ago
• goodmattg / quora_kaggle
  Storage for Kaggle Quora competition
  ☆16Updated 8 years ago
• ozgurdemir / word2vec-keras
  A word2vec implementation in Keras
  ☆52Updated 7 years ago
• abtpst / Doc2Vec
  Doc2Vec algorithm for solving moview review sentiment analysis
  ☆25Updated 9 years ago
• manasRK / word2vec-recommender
  Recommendation engine based on contextual word embeddings
  ☆136Updated 9 years ago
• giuseppebonaccorso / Reuters-21578-Classification
  Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM
  ☆45Updated 8 years ago
• javedqadruddin / person2vec
  ☆96Updated 7 years ago
• flrngel / TagSpace-tensorflow
  Tensorflow implementation of Facebook TagSpace
  ☆74Updated 6 years ago
• synthesio / hierarchical-attention-networks
  Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf
  ☆57Updated 7 years ago
• mansweet / Gaussian-LDA-word2vec
  LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary
  ☆53Updated 9 years ago
• sb1992 / NETL-Automatic-Topic-Labelling-
  Generating labels for topics automatically using neural embeddings
  ☆185Updated 2 months ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 8 years ago
• zygmuntz / classifying-text
  Classifying text with bag-of-words
  ☆113Updated 10 years ago
• heerme / twitter-topics
  Python code for detecting topics/events from a Twitter stream
  ☆100Updated 7 years ago
• Tony607 / Keras-Text-Transfer-Learning
  Keras + Universal Sentence Encoder = Transfer Learning for text data
  ☆33Updated 7 years ago
• YuriyGuts / kaggle-quora-question-pairs
  My solution to Kaggle Quora Question Pairs competition (Top 2%, Private LB log loss 0.13497).
  ☆102Updated 4 years ago
• nadbordrozd / text-top-model
  Benchmarking text classification algorithms
  ☆65Updated 8 years ago
• vinhkhuc / kaggle-sentiment-popcorn
  Code for the Kaggle competition "Bag of Words Meets Bags of Popcorn"
  ☆50Updated 10 years ago
• davidsbatista / text-classification
  An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
  ☆110Updated 7 years ago
• howardyclo / Kaggle-Quora-Question-Pairs
  This is our team's solution report, which achieves top 10% (305/3307) in this competition.
  ☆59Updated 8 years ago
• daxiongshu / tradeshift-text-classification
  This is the 1st place solution of a kaggle machine contest: Tradeshift Text Classification. http://www.kaggle.com/c/tradeshift-text-class…
  ☆150Updated 10 years ago
• Steven-Hewitt / Entailment-with-Tensorflow
  Accompanying notebook for the Entailment with Tensorflow article.
  ☆82Updated 6 years ago
• eisenjulian / nlp_estimator_tutorial
  Educational material on using the TensorFlow Estimator framework for text classification
  ☆135Updated 6 years ago
• aerdem4 / kaggle-quora-dup
  Solution to Kaggle's Quora Duplicate Question Detection Competition
  ☆137Updated 6 years ago
• mhjabreel / CharCnn_Keras
  The implementation of text classification using character level convoultion neural networks using Keras
  ☆149Updated 2 years ago
• cedricdeboom / RepresentationLearning
  Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
  ☆34Updated 9 years ago