🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Jun 1, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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
카카오톡 말투 변환기에 역공학 기법을 적용하여 대화체에 robust한 정중체, 상냥체 변환기 개발
Repository relating to various courses provided by Coursera on NLP
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