converse VS FinBERT

Compare converse vs FinBERT and see what are their differences.

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converse FinBERT
6 1
176 522
0.0% -
0.0 0.0
11 months ago 10 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

converse

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

FinBERT

Posts with mentions or reviews of FinBERT. We have used some of these posts to build our list of alternatives and similar projects.
  • New to hugginface - A question
    1 project | /r/huggingface | 26 Sep 2022
    For FinBERT the trained model has an Apache license https://github.com/yya518/FinBERT/blob/master/LICENSE but the data is semi-public so I would be careful for commercial use.

What are some alternatives?

When comparing converse and FinBERT you can also consider the following projects:

soxan - Wav2Vec for speech recognition, classification, and audio classification

SuiSense - Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)

Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.

nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !

TopMost - A Topic Modeling System Toolkit

indonlu - The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)

PLOD-AbbreviationDetection - This repository contains the PLOD Dataset for Abbreviation Detection released with our LREC 2022 publication

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

browser-ml-inference - Edge Inference in Browser with Transformer NLP model

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.