Alternatives and similar repositories for cnn-classification-pytorch

Users that are interested in cnn-classification-pytorch are comparing it to the libraries listed below

• adalmia96 / Cluster-Analysis
  ☆54Updated 3 years ago
• vgupta123 / P-SIF
  Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging
  ☆35Updated 5 years ago
• david-yoon / detecting-incongruity
  TensorFlow implementation of "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder," AAAI-19
  ☆38Updated last year
• babylonhealth / fuzzymax
  Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.
  ☆43Updated 3 years ago
• skesiraju / BaySMM
  Model for learning document embeddings along with their uncertainties
  ☆36Updated 2 years ago
• NLPrinceton / ALaCarte
  ☆105Updated 7 years ago
• sronnqvist / doc2topic
  Neural topic modeling
  ☆29Updated 5 years ago
• iesl / stance
  Learned string similarity for entity names using optimal transport.
  ☆35Updated 5 years ago
• argilla-io / get_started_with_deep_learning_for_text_with_allennlp
  Getting started with AllenNLP and PyTorch by training a tweet classifier
  ☆66Updated 8 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆35Updated 3 years ago
• harkous / embeddingsviz
  Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors
  ☆46Updated 8 years ago
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆83Updated 6 years ago
• Extreme-classification / DECAF
  DECAF: Deep Extreme Classification with Label Features
  ☆54Updated 3 years ago
• lateral / minkowski
  Skip-gram word embeddings in hyperbolic space
  ☆34Updated 7 years ago
• jhlau / topic-coherence-sensitivity
  Code to compute topic coherence for several topic cardinalities and aggregate scores across them
  ☆22Updated 2 months ago
• PrincetonML / SemanticVector
  Word embedding approach based on a dynamic log-linear model
  ☆55Updated 8 years ago
• HKUST-KnowComp / MLMA_hate_speech
  Dataset and code of our EMNLP 2019 paper "Multilingual and Multi-Aspect Hate Speech Analysis"
  ☆57Updated last year
• NLPatVCU / multitasking_transformers
  Multitask Learning with Pretrained Transformers
  ☆39Updated 4 years ago
• TharinduDR / Siamese-Recurrent-Architectures
  Usage of Siamese Recurrent Neural network architectures for semantic textual similarity
  ☆22Updated 6 years ago
• allenai / show-your-work
  Relevant code for the "Show Your Work" paper, EMNLP 2019.
  ☆18Updated 6 years ago
• nlx-group / WordNetEmbeddings
  Obtaining word embeddings from a WordNet ontology
  ☆50Updated last year
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆53Updated 5 years ago
• abrazinskas / BSG
  Bayesian Skip-gram model
  ☆47Updated 5 years ago
• threelittlemonkeys / text-classification-pytorch
  Text Classification in PyTorch
  ☆23Updated 6 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 8 years ago
• ceshine / pytorch-pretrained-BERT
  A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
  ☆30Updated 6 years ago
• cambridgeltl / parameter-factorization
  Factorization of the neural parameter space for zero-shot multi-lingual and multi-task transfer
  ☆39Updated 5 years ago
• ahoho / kd-topic-models
  Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
  ☆31Updated 5 years ago
• valedica / twec
  Training Temporal Word Embeddings with a Compass
  ☆65Updated 3 months ago
• IKMLab / arct2
  Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"
  ☆54Updated 3 years ago