Content shared at DS-OX Meetup

Overview

Streamlit-Projects

Streamlit projects available in this repo:

  • An introduction to Streamlit presented at DS-OX (Feb 26, 2020) meetup

    Streamlit 101 - Jaribu

  • A home-grown template you can use to kick off your own Streamlit projects, with full instructions included

    My App Template

  • Text summarization using Gensim, Sumy and custom Tf-Idf algorithms

    Text Summarization Experiments

  • Streamlit Next.js Component, Auth0 Authentication, Event-Based Messaging & Serverless APIs

    Streamlit Component

  • A proof-of-concept app with rich dashboard-like visualisation to explore a small set of Global Cities forecasts variables

    Global Cities

GCFS-streamlit


Data used in these applications

The sample data used in these applications is either obtained from public sources or the property of Oxford Economics Ltd. (OE). Data owned by OE is provided for personal use and educational purposes only. OE forecast data is normally restricted to OE clients (or pay-walled) so may have been transformed in such a way that it is still representative of original level values, and suitable for the purposes of these applications. Please do not redistribute this data without the express permission of the owner, Oxford Economics.


Author disclaimer

The views expressed, thoughts, opinions, and presentation of facts in this repository reflect only my views and not the wider views of my employer.


Apache License, Version 2.0

Copyright 2020 Oxford Economics Ltd.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

 http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Owner
Arvindra
Arvindra
Implementation of Convolutional enhanced image Transformer

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Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on \citepaper.

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Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

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A framework for annotating 3D meshes using the predictions of a 2D semantic segmentation model.

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Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources

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General Greedy De-bias for Dataset Biases This is an extention of "Greedy Gradient Ensemble for Robust Visual Question Answering" (ICCV 2021, Oral). T

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Official PyTorch implementation of "Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children" (BMVC 2021)

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AntroPy: entropy and complexity of (EEG) time-series in Python

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Implementation for Shape from Polarization for Complex Scenes in the Wild

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Source Code of NeurIPS21 paper: Recognizing Vector Graphics without Rasterization

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Training DALL-E with volunteers from all over the Internet using hivemind and dalle-pytorch (NeurIPS 2021 demo)

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