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tiyaro's Projects

forked-macbert icon forked-macbert

Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)

forked-manga_ocr icon forked-manga_ocr

Optical character recognition for Japanese text, with the main focus being Japanese manga

forked-msmarco-passage-ranking icon forked-msmarco-passage-ranking

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR

forked-mvp icon forked-mvp

This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.

forked-pytorch-image-models icon forked-pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

forked-rebel icon forked-rebel

REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

forked-simplet5 icon forked-simplet5

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

forked-t-zero icon forked-t-zero

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

forked-tagger icon forked-tagger

An automatic tagger for four types of speech, thought and writing representation in German texts

forked-uer-py icon forked-uer-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

forked-vilt icon forked-vilt

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

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