git clone [email protected]:Poeroz/NaiveMT.git
Please first install PyTorch >= 1.5.0, then type the following command in the terminal:
cd NaiveMT
pip install --editable ./
Contact me to get it. Then put it in the wmt_zhen/ directory.
Run the following command:
bash web/run.sh
Installation Instructions Make sure that you have Python 3, gcc, venv, and pip installed. Clone the repository $ git clone https://github.com/sahr
Import Subtitles for Blender VSE Addon for adding subtitle files to blender VSE as Text sequences. Using pysub2 python module. Supported formats by py
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CoSENT 比Sentence-BERT更有效的句向量方案
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation This is the official PyTorch implementation
A crowdsourced dataset of dialogues grounded in social contexts involving utilization of commonsense.
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This repository contains code for the following two papers: VisualBERT: A Simple and Performant Baseline for Vision and Language (arxiv) with a short
RPG (Reward-Randomized Policy Gradient) Zhenggang Tang*, Chao Yu*, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu (
cc_net Tools to download and clean Common Crawl as introduced in our paper CCNet. If you found these resources useful, please consider citing: @inproc
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StyleSpeech - PyTorch Implementation PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. Status (2021.06.09
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japanese-ebook-analysis This aim of this project is to make analysing the contents of a japanese ebook easy and streamline the process for non-technic
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