Top 8 multilingual-model Open-Source Projects

whisper-timestamped

2 1,547 8.1 Python

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

Project mention: Show HN: AI Dub Tool I Made to Watch Foreign Language Videos with My 7-Year-Old | news.ycombinator.com | 2024-02-28

Yes. But Whisper's word-level timings are actually quite inaccurate out of the box. There are some Python libraries that mitigate that. I tested several of them. whisper-timestamped seems to be the best one. [0]
[0] https://github.com/linto-ai/whisper-timestamped

contextualized-topic-models

7 1,166 5.0 Python

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
InfluxDB

www.influxdata.com featured

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
PaddleOCR2Pytorch

1 774 4.4 Python

PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
Indic-BERT-v1

1 271 1.4 Python

Indic-BERT-v1: BERT-based Multilingual Model for 11 Indic Languages and Indian-English. For latest Indic-BERT v2, check: https://github.com/AI4Bharat/IndicBERT
kiri

12 240 3.2 Python

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models. (by kiri-ai)
mgpt

1 195 3.1 Jupyter Notebook

Multilingual Generative Pretrained Model
WangChanGLM

1 91 7.9 Jupyter Notebook

WangChanGLM 🐘 - The Multilingual Instruction-Following Model
SaaSHub

www.saashub.com featured

SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
ToLD-Br

1 34 2.6 Jupyter Notebook

Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

Project mention: Toxicity in Tweets using a BERT model | dev.to | 2024-04-11

The dataset is based on ToLD-Br, which is a huge dataset of tweets (or is it Xeets now?) that contains some additional info such as a classification if the text contains homophobia, obscenity, insults, racism, misogyny and xenophobia. The dataset for the competition, however, is a simple toxicity column.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).