Popular GitHub Repositories for Multilingual Translators

Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!

CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

vits2 backbone with multilingual-bert

CodeGeeX2: A More Powerful Multilingual Code Generation Model

GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型

High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.

Multilingual Voice Understanding Model

??AutoDev: The AI-powered coding wizard（AI 驱动编程助手）with multilingual support ?, auto code generation ??, and a helpful bug-slaying assistant ?! Customizable prompts ? and a magic Auto Dev/Testing/Document/Agent feature ? included! ?

An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2E, F5-TTS, CosyVoice), with Whisper audio processing, RVC voice changer, YouTube download, UVR5 vocal isolation, and multilingual translation.

LightSeq: A High Performance Library for Sequence Processing and Generation

Kandinsky 2 — multilingual text2image latent diffusion model

Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

A plugin for multilingual translation of ComfyUI，This plugin implements translation of resident menu bar/search bar/right-click context menu/node, etc

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM

A multilingual dialog corpus

Skywork series models are pre-trained on 3.2TB of high-quality multilingual (mainly Chinese and English) and code data. We have open-sourced the model, training data, evaluation data, evaluation methods, etc.

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.).