Low resource machine translation using Transformers and Iterative Back translation
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Updated
Apr 24, 2020 - Python
Low resource machine translation using Transformers and Iterative Back translation
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
Using a Transformer for learning the Language Model and Generate Short Jokes
Dịch máy giữa ngôn ngữ anh-viet
Public repository of paper " Learning to combine classifiers outputs with the transformer for text classification"
Offered by deeplearning.ai via Coursera. The course is taught by Younes Bensouda Mourri, Łukasz Kaiser, and Eddy Shyu.
A transformer-based model for automatic Image Captioning
Master's thesis repository with evaluation of BERT-based models on Quora Question Dataset, in comparison to Siamese LSTM models
🌈 This repo will assist you to translate one language into another using different open-source models.
Riiid! Answer Correctness Prediction
Dost thou readeth thine description? An English->Shakespearian translator in TensorFlow 2.0+
Code Examples for Learning About Transformers
This repository contains code and data download instructions for the workshop paper "Improving Hierarchical Product Classification using Domain-specific Language Modelling" by Alexander Brinkmann and Christian Bizer.
In depth evaluation of the ETHICS utilitarianism task dataset. An assessment of approaches to improved interpretability (SHAP, Bayesian transformers).
The objective of this project is to build a Text Language Translator where the input is a sequence of words & the output is translation of the given sequence in desired language.
A paper implementation and tutorial from scratch combining various great resources for implementing Transformers discussesd in Attention in All You Need Paper for the task of German to English Translation.
Integration of Swin Transformer to DETR for Robust Object Detection (DEMO)
🇷🇺 Punctuation restoration production-ready model for Russian language 🇷🇺
TensorFlow and PyTorch Implementation of Vision Transformers (ViT) as described by "An Image is Worth 16x16 words: Transformers for Image Recognition at Scale - Alexey Dosovitskiy et al."
Extended Computer Vision Deep Learning based repo
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