Popular GitHub Repositories for Ethiopian Languages

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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

AI模型接口管理与分发系统，支持将多种大模型转为OpenAI格式调用、支持Midjourney Proxy、Suno、Rerank，兼容易支付协议，可供个人或者企业内部管理与分发渠道使用，本项目基于One API二次开发。? The next-generation LLM gateway and AI asset management system supports multiple languages.

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

TensorFlow API for .NET languages

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

Pre-trained word vectors of 30+ languages

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

Controllable and fast Text-to-Speech for over 7000 languages!

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Multilingual word vectors in 78 languages

WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.