NVIDIA / sentiment-discoveryLinks
Unsupervised Language Modeling at scale for robust sentiment classification
β1,063Updated 4 years ago
Alternatives and similar repositories for sentiment-discovery
Users that are interested in sentiment-discovery are comparing it to the libraries listed below
Sorting:
- InferSent sentence embeddingsβ2,284Updated 3 years ago
- πHMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLPβ1,195Updated last year
- Scikit-learn style model finetuning for NLPβ711Updated 2 weeks ago
- Code for "Learning to Generate Reviews and Discovering Sentiment"β1,514Updated last year
- β473Updated 3 years ago
- A python tool for evaluating the quality of sentence embeddings.β2,106Updated last year
- The Natural Language Decathlon: A Multitask Challenge for NLPβ2,349Updated last month
- PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTMβ1,260Updated 3 years ago
- πA pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etcβ925Updated last year
- Question answering dataset featured in "Teaching Machines to Read and Comprehendβ1,297Updated 8 years ago
- Tensorflow implementation of contextualized word representations from bi-directional language modelsβ1,614Updated 2 years ago
- Neural Attention Model for Abstractive Summarizationβ917Updated 7 years ago
- Multilingual word vectors in 78 languagesβ1,200Updated 2 years ago
- Basic Utilities for PyTorch Natural Language Processing (NLP)β2,219Updated last year
- Phrase-Based & Neural Unsupervised Machine Translationβ1,504Updated 3 years ago
- Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.β1,711Updated 2 years ago
- Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granulβ¦β1,536Updated 2 years ago
- tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddingsβ436Updated 8 years ago
- Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)β1,212Updated 8 months ago
- Deep learning models trained to correct input errors in short, message-like textβ1,236Updated 6 years ago
- Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)β2,099Updated 3 years ago
- Keras implementation of BERT with pre-trained weightsβ814Updated 5 years ago
- A list of datasets/corpora for NLP tasks, in reverse chronological order.β924Updated 5 years ago
- β1,309Updated 2 years ago
- π₯A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAIβ1,509Updated 3 years ago
- Deep Learning for Natural Language Processingβ458Updated 6 years ago
- NLP made easyβ2,562Updated last year
- Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://β¦β2,389Updated 3 years ago
- A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural β¦β2,939Updated 2 years ago
- Sequence-to-Sequence Framework in PyTorchβ391Updated 2 years ago