Deep Learning, NLP, NMT, AI, ML
If training from scratch, simply run. If not, customize the dir in /experiments/CSR config.py. @inproceedings{tan2021confident, title={Confident Semantic Ranking Loss for Part Parsing}, author={Tan, Xin and Xu, Jiachen and Ye, Zhou and Hao, Jinkun and Ma, Lizhuang}, booktitle={2021 IEEE International Conference on Multimedia and Expo (ICME)}, pages={1–6}, year={2021}, organization={IEEE} }
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We highly recommend you to install the specified version of the following packages to avoid unnecessary troubles: If the code is used in your research, please star our repo and cite our paper as follows: @inproceedings{zhang-etal-2021-aspect-sentiment, title = “Aspect Sentiment Quad Prediction as Paraphrase Generation”, author = “Zhang, Wenxuan and Deng, Yang and Li, Xin and Yuan, Yifei and Bing, Lidong and Lam, Wai”, booktitle =
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A module for solving linear programming problems on Python. Install How to use Import 1. Simplex method in primal linear programming: c_vec = [6, 6, 6] a_matrix = [[4, 1, 1], [1, 2, 0], [0, 0.5, 4]] b_vec = [5, 3, 8] simplex =
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This is a deep learning library that makes face recognition efficient, and effective, which can train tens of millionsidentity on a single server. Requirements How to Training To train a model, run train.py with the path to the configs: 1. Single node, 8 GPUs: python -m torch.distributed.launch –nproc_per_node=8 –nnodes=1 –node_rank=0 –master_addr=”127.0.0.1″ –master_port=1234 train.py configs/ms1mv3_r50 2. Multiple nodes, each node 8 GPUs: Node 0: python -m torch.distributed.launch –nproc_per_node=8 –nnodes=2 –node_rank=0 –master_addr=
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Python Service for MISP Feed Management This set of scripts is designed to offer better reliability and more control over the fetching of feeds into MISP. For the moment, the schedule is broken up into multiple components, at the top of each plugin and in config.py: MISP_TIMES: An array of times (24hr format) when enabled MISP feeds will be fetched and cached. TEXT_TIMES: An array of times (24hr format) when enabled plaintext and CSV feeds will be fetched and cached. […]
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HTML Whitespace remover for Django Introduction : A powerful tool to optimize Django rendered templates Why use “django_stip_whitespace” ? Adds line break to InlineJS. It can automagically minify inline CSS, JS. Removes from HTML. It speeds up website by reducing the HTML size. Drop in replacement for django.gzip.GzipMiddleware. It compiles regex at runtime. So it’s blazing fast. Its mostly based on C ( gzip ) and Rust ( minify-html ) libraries. Significantly
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Сколько всего было внесено денег на счет Комиссию брокера Сумму денег на счету на данный момент Итоговый заработок Это скрипт для тех,кто столкнулся с проблемой подсчета уплаченой комиссии и подсчетом общей прибыли В личном кабинете Тинькофф банка получите токен Скачайте файл с кодом, замените YOUR TOKEN на ваш токен Запустите скрипт и получите данные GitHub View Github
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O que é o YouTube Downloader by PyTube? YouTube Downloader by PyTube é um software simples para baixar vídeos no YouTube com a qualidade máxima. YouTube Downloader by PyTube usa a bibliotecapytube, uma lib riquíssima cheia de recursos para baixar vídeos e áudio no YouTube. YouTube Downloader by PyTube não usa todos os recursos do pytube, apenas baixa vídeos no youtube com a qualidade máxima e também, caso o usuário tenha o wget, baixa a capa do vídeo…A interface gráfica […]
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A pairs trade relies on the fact that – if the correlation between two stocks is atleast 95% they follow a similar trend. But due to temporary market conditions like the announcement of results in a company or due to mishaps in another company, the stock direction of that company may deviate from the mean value. Given the striking similarities between the two banks used for this capstone, a change in the business environment of one bank, affects the paired […]
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Ultimaze est un jeu en 2.5D, réalisé dans le cadre d’un projet de NSI. La consigne était d’utiliser la librairie pygame pour créer un jeu en mettant à profit des classes. Sommaire: installation utilistation le labyrinth le raycasting 1. Installation pip install ultimaze python main.py Ou utlisé l’installer dans /dist/ultimaze.exePuis exécutez l’installer 2. Utilisation Quand vous êtes prêt, appuyez sur “Play” pour commencer le jeu. Devez collecter toutes les murs multicolorts en marchant dessus avant de trouver la sortie (attention […]
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