A low-memory high-performance CPU-based API for Meta's No Language Left Behind (NLLB) using CTranslate2, hosted on Hugging Face Spaces.
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Updated
May 31, 2024 - Python
A low-memory high-performance CPU-based API for Meta's No Language Left Behind (NLLB) using CTranslate2, hosted on Hugging Face Spaces.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Training pipelines for Firefox Translations neural machine translation models
End-to-End Speech Processing Toolkit
Self-Augmented In-Context Learning for Unsupervised Word Translation (ACL 2024). Keywords: Bilingual Lexicon Induction, Word Translation, Large Language Models, LLMs.
Machine is a natural language processing library for .NET that is focused on providing tools for processing resource-poor languages.
On Bilingual Lexicon Induction with Large Language Models (EMNLP 2023). Keywords: Bilingual Lexicon Induction, Word Translation, Large Language Models, LLMs.
Seamless Multi-API Translation: Simplifying Language Barriers with DeepL, OpenAI, Gemini, Google Translate and More!
The following repository contains model training and BLEU calculation tools for a Polish-Kashubian translator.
GiellaLT documentation
Fast inference engine for Transformer models
Pytorch Transformer Implementation
Transformers without Tears: Improving the Normalization of Self-Attention
Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
Open information and community for machine translation
Transformer Balance Research
Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
Source for UiT specific documentation for the GiellaLT infrastructure.
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