Alternatives and similar repositories for pytorch_neural_machine_translation_attention:

Users that are interested in pytorch_neural_machine_translation_attention are comparing it to the libraries listed below

• graviraja / nlp-paper-summary
  ☆13Updated 4 years ago
• omarsar / nlp_with_tensorflow
  NLP tutorials I have written using TensorFlow
  ☆12Updated 6 years ago
• JRC1995 / Machine-Translation-Transformers
  Machine Translation using Transfromers
  ☆29Updated 5 years ago
• dair-ai / ml-nlp-paper-discussions
  📄 A repo containing notes and discussions for our weekly NLP/ML paper discussions.
  ☆150Updated 4 years ago
• abhishekkrthakur / bert-tweet-sentiment
  ☆31Updated 5 years ago
• binga / fastai_notes
  My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)
  ☆36Updated 6 years ago
• divamgupta / attention-translation-keras
  Attention based sequence to sequence neural machine translation model built in keras.
  ☆30Updated 7 years ago
• swapniljadhav1921 / asamiasami
  State-Of-The-Art & ready to use mini NLP models for Indian Languages
  ☆44Updated 3 years ago
• bentrevett / pytorch-nli
  A tutorial on how to implement models for natural language inference using PyTorch and TorchText. [IN PROGRESS]
  ☆26Updated 5 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 4 years ago
• raghavbali / text_generation
  Notebooks to better understand text generation
  ☆7Updated 4 years ago
• omarsar / clinical_nlp_elastic
  Clinical NLP Analysis with Elasticsearch and Kibana
  ☆35Updated 6 years ago
• surbhardwaj / BERT-QnA-Squad_2.0_Finetuned_Model
  BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.
  ☆56Updated 5 years ago
• AliOsm / simplerepresentations
  Easy-to-use text representations extraction library based on the Transformers library.
  ☆32Updated 2 years ago
• dipanjanS / transformers_nlp_essentials
  Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFa…
  ☆27Updated 4 years ago
• duyunshu / bert-sentiment-analysis
  This is Yunshu's [Activision](https://www.activision.com/) internship project. We are interested in understanding user opinions about Act…
  ☆56Updated 5 years ago
• sudharsan13296 / Word2vec-from-scratch
  simple Word2vec from scratch using tensorflow for understanding
  ☆31Updated 7 years ago
• DavidWBressler / GCNN
  Pytorch implementation of Dauphin et al. (2016) "Language Modeling with Gated Convolutional Networks"
  ☆29Updated 2 years ago
• prateekjoshi565 / ULMFiT_Text_Classification
  Transfer Learning for NLP Tasks
  ☆55Updated 6 years ago
• notAI-tech / DeepTranslit
  Efficient and easy to use transliteration for Indian languages
  ☆51Updated 4 years ago
• kvablack / nlg-gan
  An attempt to use a Generative Adversarial Network (GAN) for natural language generation.
  ☆16Updated 6 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆81Updated 5 years ago
• threelittlemonkeys / seq2seq-pytorch
  Sequence to Sequence Models in PyTorch
  ☆44Updated 8 months ago
• jibinmathew69 / Hands-on-NLP-with-PyTorch
  Collection of Notebooks for Natural Language Processing with PyTorch
  ☆30Updated 6 years ago
• vietnh1009 / Character-level-cnn-pytorch
  Character-level CNN for text classification
  ☆54Updated 3 years ago
• aniruddhachoudhury / BERT-Tutorials
  ☆37Updated 4 years ago
• CaptainAshis / Deep_Learning-Experiment
  All of my Deep Learning experiments have been summarized in this repository.It includes Pytorch tutorials, SoTA Neural Network classifica…
  ☆10Updated 4 years ago
• yahah100 / text_summarization
  Text summarization with python and transformer
  ☆13Updated last year
• sermakarevich / jigsaw-toxic-comment-classification-challenge
  ☆46Updated 2 years ago
• prakhar21 / Writing-with-BERT
  Using BERT for doing the task of Conditional Natural Language Generation by fine-tuning pre-trained BERT on custom dataset.
  ☆40Updated 5 years ago