Alternatives and similar repositories for word-embeddings-from-scratch

Users that are interested in word-embeddings-from-scratch are comparing it to the libraries listed below

• davidsbatista / text-classification
  An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
  ☆110Updated 7 years ago
• ahmedbesbes / overview-and-benchmark-of-traditional-and-deep-learning-models-in-text-classification
  NLP tutorial
  ☆42Updated 7 years ago
• davidsbatista / ConvNets-for-Sentence-Classification
  "Convolutional Neural Networks for Sentence Classification" (Kim 2014) - https://www.aclweb.org/anthology/D14-1181
  ☆53Updated 5 years ago
• parulsethi / gensim
  Topic Modelling for Humans
  ☆22Updated 7 years ago
• prateekjoshi565 / ULMFiT_Text_Classification
  Transfer Learning for NLP Tasks
  ☆55Updated 7 years ago
• nathanrooy / word2vec-from-scratch-with-python
  A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python
  ☆101Updated 6 years ago
• ArtificiAI / Multilingual-Latent-Dirichlet-Allocation-LDA
  A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
  ☆83Updated last year
• kavgan / phrase-at-scale
  Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in …
  ☆131Updated 6 years ago
• lgalke / vec4ir
  Word Embeddings for Information Retrieval
  ☆225Updated 2 years ago
• BrambleXu / nlp-beginner-guide-keras
  NLP model implementations with keras for beginner
  ☆152Updated 3 years ago
• sb1992 / NETL-Automatic-Topic-Labelling-
  Generating labels for topics automatically using neural embeddings
  ☆185Updated 4 months ago
• IntuitionEngineeringTeam / chars2vec
  Character-based word embeddings model based on RNN for handling real world texts
  ☆174Updated 2 years ago
• hamelsmu / ktext
  Utilities for preprocessing text for deep learning with Keras
  ☆180Updated 3 years ago
• Dicksonchin93 / toxic_comment_classification
  Predict Toxic Comments in the wild
  ☆41Updated 7 years ago
• erwtokritos / keras-glove
  Implementation of GloVe in Keras
  ☆45Updated 2 years ago
• prrao87 / tweet-stance-prediction
  Applying NLP transfer learning techniques to predict Tweet stance toward a topic
  ☆107Updated 6 years ago
• NSchrading / intro-spacy-nlp
  An introduction to using spaCy for NLP and machine learning
  ☆193Updated 3 years ago
• pandeydivesh15 / NER-using-Deep-Learning
  A project on achieving Named-Entity Recognition using Deep Learning.
  ☆25Updated 7 years ago
• TropComplique / lda2vec-pytorch
  Topic modeling with word vectors
  ☆119Updated 4 years ago
• chaitjo / character-level-cnn
  Keras implementation of Character-level CNN for Text Classification
  ☆59Updated 7 years ago
• kumar-shridhar / Know-Your-Intent
  State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
  ☆134Updated 5 years ago
• nadbordrozd / text-top-model
  Benchmarking text classification algorithms
  ☆65Updated 8 years ago
• anujgupta82 / Representation-Learning-for-NLP
  ☆51Updated 2 months ago
• nadbordrozd / blog_stuff
  experiments and snippets used on the blog
  ☆146Updated last year
• 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
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• abaheti95 / Deep-Learning
  I'll put all the valuable tutorials and starter codes of deep learning here.
  ☆41Updated 8 years ago
• shabeelkandi / Handling-Out-of-Vocabulary-Words-in-Natural-Language-Processing-using-Language-Modelling
  ☆69Updated 6 years ago
• hamelsmu / Seq2Seq_Tutorial
  Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
  ☆138Updated 3 years ago
• mxhofer / Named-Entity-Recognition-BidirectionalLSTM-CNN-CoNLL
  Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"
  ☆180Updated 6 years ago