🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Jun 2, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
An English - German Neural Machine Translator informed by Bahdanau et al. (2014).
torchsharp functionality check and model implementation
Transformer Balance Research
Some natural language processing networks from scratch in PyTorch for personal educational purposes.
[데이터 분석 캡스톤 디자인] 스마트 워치 사용자 말투 답장 제안 프로젝트
Gateway into the John Snow Labs Ecosystem
Natural Language Processing (NLP)
Mimix: A Text Generation Tool and Pretrained Chinese Models
NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
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.
The corresponding code for our paper: A sequence-to-sequence approach for document-level relation extraction.
A large collection of Khmer language resources. Khmer is a language used by Cambodia.
An elegent pytorch implement of transformers
A study on Knowledge-based question generation from images. Undergraduate Thesis for 2023-2024.
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Code to address Natural Language Generation Tasks via Transformer Architecture
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.
A desktop application to assist in learning languages. Uses a deep learning model to generate translations.
Lingvo
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