bert-sklearn VS pytorch-sentiment-analysis

Compare bert-sklearn vs pytorch-sentiment-analysis and see what are their differences.

bert-sklearn

a sklearn wrapper for Google's BERT model (by charles9n)
NLP Natural Language Processing transfer-learning Pytorch language-model scikit-learn Bert Ner named-entity-recognition conll-2003
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pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis. (by bentrevett)
Pytorch sentiment-analysis Tutorial Rnn Lstm Fasttext torchtext sentiment-classification Cnn cnn-text-classification lstm-sentiment-analysis pytorch-tutorial pytorch-tutorials pytorch-nlp NLP Natural Language Processing recurrent-neural-networks word-embeddings Transformers Bert
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bert-sklearn pytorch-sentiment-analysis
1 2
293 4,225
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0.0 4.0
over 1 year ago about 1 month ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
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bert-sklearn

Posts with mentions or reviews of bert-sklearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.

pytorch-sentiment-analysis

Posts with mentions or reviews of pytorch-sentiment-analysis. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing bert-sklearn and pytorch-sentiment-analysis you can also consider the following projects:

bert - TensorFlow code and pre-trained models for BERT

spark-nlp - State of the Art Natural Language Processing

OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

kruk - Ukrainian instruction-tuned language models and datasets

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

fake-news - Building a fake news detector from initial ideation to model deployment

malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

ABSA_Project_4 - This project takes advantange of the parsing and part of speech tagging capabilites of Spacy's pipeline in order to extract aspect/opinion/sentiment triplets. Cluster aspects using unsupervised learning to process sentiment for large amazon review datasets.

afinn - AFINN sentiment analysis in Python

bert-sklearn vs bert pytorch-sentiment-analysis vs spark-nlp bert-sklearn vs OpenAI-CLIP pytorch-sentiment-analysis vs Basic-UI-for-GPT-J-6B-with-low-vram bert-sklearn vs kruk pytorch-sentiment-analysis vs Time-Series-Forecasting-Using-LSTM bert-sklearn vs NLU-engine-prototype-benchmarks pytorch-sentiment-analysis vs Behavior-Sequence-Transformer-Pytorch bert-sklearn vs fake-news pytorch-sentiment-analysis vs malaya bert-sklearn vs ABSA_Project_4 pytorch-sentiment-analysis vs afinn