Documentation

A document format conversion service based on Pandoc

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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Flask

Library books management web application built with Flask

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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Advanced, NLP, Project, Python, Text, Unstructured Data

New Anaphora and Co-reference Resolution Technique for Biographies

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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Deep Learning, NLP, Project, Python, Unstructured Data

Sentiment Analysis Using Bidirectional Stacked LSTM

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 […]

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Natural Language Processing

Dice Loss for NLP Tasks with python

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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Video

Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks

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

Automatic color transfer across images in python

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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3D

Robust Shape Representation for Textured 3D Human Body Reconstruction

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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Simulation

Learning What To Do by Simulating the Past

Learning What To Do by Simulating the Past This repository contains code that implements the Deep Reward Learning by Simulating the Past (Deep RSLP) algorithm introduced in the paper “Learning What To Do by Simulating the Past”. This code is provided as is, and will not be maintained. Here we describe how to reproduce the experimental results reported in the paper. You can find video of policies trained with Deep RLSP here. Citation David Lindner, Rohin Shah, Pieter Abbeel, Anca […]

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Segmentation

Towards High-Quality Instance Segmentation with Fine-Grained Features

Towards High-Quality Instance Segmentation with Fine-Grained Features This repo is the official implementation of RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features. Main Results Results on COCO Method Backbone Schedule AP AP* Checkpoint Mask R-CNN R50-FPN 1x 34.7 36.8 RefineMask R50-FPN 1x 37.3 40.6 download Mask R-CNN R50-FPN 2x 35.4 37.7 RefineMask R50-FPN 2x 37.8 41.2 download Mask R-CNN R101-FPN 1x 36.1 38.4 RefineMask R101-FPN 1x 38.6 41.8 download Mask R-CNN R101-FPN 2x 36.6 39.3 RefineMask R101-FPN 2x 39.0 42.4 […]

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