davidwarshaw / hmc

Related projects ⓘ

Alternatives and complementary repositories for hmc

• chaitjo / lstm-context-embeddings
  Augmenting word embeddings with their surrounding context using bidirectional RNN
  ☆60Updated 4 years ago
• cedricdeboom / RepresentationLearning
  Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
  ☆37Updated 8 years ago
• bwallace / CNN-for-text-classification
  A simple CNN implementation in Keras.
  ☆30Updated 8 years ago
• goodmattg / quora_kaggle
  Storage for Kaggle Quora competition
  ☆16Updated 7 years ago
• lopuhin / python-adagram
  AdaGram (adaptive skip-gram) for Python
  ☆74Updated 7 years ago
• johnb30 / py_crepe
  Keras implementation of the Crepe character-level convolutional neural net.
  ☆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
  ☆58Updated 6 years ago
• anayebi / CS-224U-Project
  Recurrent versus Recursive Approaches Towards Compositionality in Semantic Vector Spaces.
  ☆13Updated 3 years ago
• cod3licious / conec
  Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings
  ☆20Updated 4 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 2 years ago
• dsv77 / hashembedding
  Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"
  ☆42Updated 6 years ago
• maciejkula / mixture
  ☆27Updated 6 years ago
• anargyri / lstm_han
  LSTM and Hierarchical Attention Network on DSVM
  ☆41Updated 7 years ago
• AYLIEN / adversarial-document-model
  Code needed to reproduce "Modeling documents with Generative Adversarial Networks"
  ☆39Updated 7 years ago
• spinningbytes / deep-mlsa
  Code for WWW 2017 conference paper "Leveraging large amounts of weakly supervised data for multi-language sentiment classification"
  ☆36Updated 5 years ago
• lrei / nbsvm
  Multiclass Naive Bayes SVM (NB-SVM) - Learns a multiclass classifier (OneVsRest) based on word ngrams.
  ☆35Updated 8 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆52Updated 7 years ago
• sindbach / doc2vec_pymongo
  Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)
  ☆36Updated last year
• LopezGG / Sequence-Labelling
  Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in keras
  ☆71Updated 7 years ago
• alessandrosp / multi_view_network
  Keras implementation of Guo et al.'s Multi-View Network (2017).
  ☆12Updated 6 years ago
• idiap / mhan
  Multilingual hierarchical attention networks toolkit
  ☆78Updated 4 years ago
• thomsonreuters / attr2vec
  TensorFlow implementation of an arbitrary order Factorization Machine
  ☆19Updated 6 years ago
• scavallari / Topic2Vec
  ☆21Updated 8 years ago
• artetxem / uncovec
  Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation
  ☆63Updated 6 years ago
• libofang / DV-ngram
  code for iclr workshop paper "Learning Document Embedding by Predicting N-grams for Sentiment Classification of Long Movie Reviews"
  ☆25Updated 8 years ago
• nadbordrozd / text-top-model
  Benchmarking text classification algorithms
  ☆64Updated 7 years ago
• spyysalo / wvlib
  word vector library
  ☆34Updated 5 years ago
• Cardal / Kaggle_AllenAIscience
  My solution for the Kaggle "Allen AI science challenge"
  ☆48Updated 8 years ago
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆54Updated 4 years ago
• zzcoolj / corpus2graph
  ☆23Updated 5 years ago