Deep Learning, NLP, NMT, AI, ML
Browbeat Browbeat is a performance tuning and analysis tool for OpenStack. Browbeat is free, Open Source software. Analyze and tune your Cloud for optimal performance. Create Rally workloads for performance and scale testing. Automate deployment of common data analysis tools. Documentation Browbeat documentation is available at https://browbeat.readthedocs.io/ GitHub https://github.com/cloud-bulldozer/browbeat
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reformed Document format conversion service based on Pandoc. Usage The API specification for the Reformed server is as follows: GET /api/v1/formats: Lists available input and output formats for documents Response { “input”: { “commonmark”: { “mime”: “text/markdown”, “ext”: “md”, “detail”: “CommonMark Markdown” }, “docx”: { “mime”: “application/vnd.openxmlformats-officedocument.wordprocessingml.document”, “ext”: “docx”, “detail”: “Word docx” }, // … }, “output”: { “commonmark”: { “mime”: “text/markdown”, “ext”: “md”, “detail”: “CommonMark Markdown” }, “docx”: { “mime”: “application/vnd.openxmlformats-officedocument.wordprocessingml.document”, “ext”: “docx”, “detail”: “Word docx” }, // … […]
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library books management Web application Library books management web application built with Flask Upload a book to the database, and also see it at home page. You’ll be able to edit the book if you make a mistake while registering it. Borrow a book to the customer and register the borrowed date. You’ll be able to see the borrowed books information. You’ll be able to edit the borrowed books information. You’ll be able to see the returned books information If […]
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This article was published as a part of the Data Science Blogathon Introduction Biographies of many famous personalities are very insightful and inspiring. Although, one may not want to read the whole document. In order to just get the important points from the biography, one can generate a summary of the biography. The summary is generated by giving weights to all the words. Sometimes, anaphoras can be predicted by the machine as a separate word which in return produces a less […]
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This article was published as a part of the Data Science Blogathon Sentiment Analysis Sentiment Analysis is the process of finding the sentiments of the text data. Sentiment Analysis falls under the text classification in Natural Language Processing. Sentiment Analysis would help us to know our customer reviews better. A sentiment denotes any one of the following, Positive, Negative, and Neutral. When we analyze the negative reviews of our products we can easily use those reviews to surmount the problems […]
Read moreEpisode 132 | August 12, 2021 For Microsoft researchers, COVID-19 was a call to action. The reimagining of work practices had long been an area of study, but existing and new questions that needed immediate answers surfaced as companies and their employees quickly adjusted to significantly different working conditions. Teams from across the Microsoft
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Dice Loss for NLP Tasks This repository contains code for Dice Loss for Data-imbalanced NLP Tasks at ACL2020. Setup Install Package Dependencies The code was tested in Python 3.6.9+ and Pytorch 1.7.1. If you are working on ubuntu GPU machine with CUDA 10.1, please run the following command to setup environment. $ virtualenv -p /usr/bin/python3.6 venv $ source venv/bin/activate $ pip install torch==1.7.1+cu101 torchvision==0.8.2+cu101 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html $ pip install -r requirements.txt Download BERT Model Checkpoints Before running the repo […]
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TSP TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks This repository holds the source code, pretrained models, and pre-extracted features for the TSP method. Please cite this work if you find TSP useful for your research. @article{alwassel2020tsp, title={TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks}, author={Alwassel, Humam and Giancola, Silvio and Ghanem, Bernard}, journal={arXiv preprint arXiv:2011.11479}, year={2020} } We provide pre-extracted features for ActivityNet v1.3 and THUMOS14 videos. The feature files are saved in H5 format, where we […]
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color-matcher color-matcher enables color transfer across images which comes in handy for automatic color-grading of photographs, paintings and film sequences as well as light-field and stopmotion corrections. The methods behind the mappings are based on the approach from Reinhard et al., the Monge-Kantorovich Linearization (MKL) as proposed by Pitie et al. and our analytical solution to a Multi-Variate Gaussian Distribution (MVGD) transfer in conjunction with classical histogram matching. As shown below our HM-MVGD-HM compound outperforms existing methods. Installation via pip: […]
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PeeledHuman [3DV 2020] PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction AbstractWe introduce PeeledHuman – a novel shape representation of the human body that is robust to self-occlusions. PeeledHuman encodes the human body as a set of Peeled Depth and RGB maps in 2D, obtained by performing raytracing on the 3D body model and extending each ray beyond its first intersection. This formulation allows us to handle self-occlusions efficiently compared to other representations. Given a monocular RGB image, […]
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