Alternatives and similar repositories for nips-papers:

Users that are interested in nips-papers are comparing it to the libraries listed below

• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• cedricdeboom / RepresentationLearning
  Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
  ☆36Updated 9 years ago
• Noahs-ARK / idea_relations
  A framework to identify relations between ideas in temporal text corpora.
  ☆28Updated 7 years ago
• apmoore1 / fiesta
  Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
  ☆14Updated 2 years ago
• tuvuumass / SCoPE
  SCoPE: Sentence Content Paragraph Embeddings
  ☆18Updated 5 years ago
• nlitutorial / nlitutorial.github.io
  2019 NAACL NLI with Deep Learning tutorial site.
  ☆31Updated 5 years ago
• jhlau / topic-coherence-sensitivity
  Code to compute topic coherence for several topic cardinalities and aggregate scores across them
  ☆21Updated last month
• AYLIEN / adversarial-document-model
  Code needed to reproduce "Modeling documents with Generative Adversarial Networks"
  ☆38Updated 7 years ago
• AliOsm / simplerepresentations
  Easy-to-use text representations extraction library based on the Transformers library.
  ☆32Updated 2 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆22Updated 9 years ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆22Updated 6 years ago
• ChristophAlt / embedding_vectorizer
  Scikit-learn vectorizer implementing "A simple but tough-to-beat baseline for sentence embeddings." by Arora, Sanjeev, Yingyu Liang, and …
  ☆11Updated 7 years ago
• cgraywang / transformer-on-diet
  Code repo for "Transformer on a Diet" paper
  ☆31Updated 4 years ago
• maciejkula / binge
  Recommendation models that use binary rather than floating point operations at prediction time.
  ☆21Updated 7 years ago
• rsantana-isg / GP_word2vec
  Contains the main implementation of programs for the paper: Reproducing and learning new algebraic operations on word embeddings using ge…
  ☆12Updated 8 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago
• karlhigley / ranking-metrics-torch
  Simple ranking metrics for PyTorch on CPU or GPU
  ☆15Updated 4 years ago
• skesiraju / BaySMM
  Model for learning document embeddings along with their uncertainties
  ☆35Updated last year
• neubig / lxmls-2017
  Slides/code for the Lisbon machine learning school 2017
  ☆28Updated 7 years ago
• goodmattg / quora_kaggle
  Storage for Kaggle Quora competition
  ☆16Updated 7 years ago
• nd7141 / recsystutorial
  ☆16Updated 4 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 5 years ago
• anayebi / CS-224U-Project
  Recurrent versus Recursive Approaches Towards Compositionality in Semantic Vector Spaces.
  ☆13Updated 3 years ago
• allenai / aiconf-allennlp-tutorial
  allennlp tutorial for O'Reilly AI Conference, September 2019
  ☆22Updated 5 years ago
• gibranfp / SMH-Topic-Discovery
  Large-scale topic discovery with Sampled-MinHashing
  ☆10Updated 5 years ago
• dongwookim-ml / topic-model-lecture-note
  lecture notes for probabilistic topic models using ipython notebook
  ☆22Updated 10 years ago
• minghui / BLDA
  Joint Behavior-Topic Model for Microblogs
  ☆15Updated 9 years ago
• clab / knowledge
  ☆10Updated 9 years ago
• AYLIEN / jupyter-notebooks
  ☆13Updated 8 years ago
• Hediby / fastsent_theano
  Implementing FastSent in theano
  ☆12Updated 8 years ago