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
《Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching》(CVPR 2020)

This contains the codes for cross-view geo-localization method described in: Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching, CVPR2020.

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AdaDM: Enabling Normalization for Image Super-Resolution

AdaDM AdaDM: Enabling Normalization for Image Super-Resolution. You can apply BN, LN or GN in SR networks with our AdaDM. Pretrained models (EDSR*/RDN

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LaBERT - A length-controllable and non-autoregressive image captioning model.

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EZ graph is an easy to use AI solution that allows you to make and train your neural networks without a single line of code.

EZ-Graph EZ Graph is a GUI that allows users to make and train neural networks without writing a single line of code. Requirements python 3 pandas num

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A decent AI that solves daily Wordle puzzles. Works with different websites with similar wordlists,.

Wordle-AI A decent AI that solves daily "Wordle" puzzles. Works with different websites with similar wordlists. When prompted with "Word:" enter the w

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Transfer Learning library for Deep Neural Networks.

Transfer and meta-learning in Python Each folder in this repository corresponds to a method or tool for transfer/meta-learning. xfer-ml is a standalon

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PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling This repository contains the implementation for the paper Diffusion

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[IJCAI-2021] A benchmark of data-free knowledge distillation from paper "Contrastive Model Inversion for Data-Free Knowledge Distillation"

DataFree A benchmark of data-free knowledge distillation from paper "Contrastive Model Inversion for Data-Free Knowledge Distillation" Authors: Gongfa

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Code of 3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces

3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces Installation After cloning the repo open

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Colab notebook and additional materials for Python-driven analysis of redlining data in Philadelphia

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基于PaddleClas实现垃圾分类,并转换为inference格式用PaddleHub服务端部署

百度网盘链接及提取码: 链接:https://pan.baidu.com/s/1HKpgakNx1hNlOuZJuW6T1w 提取码:wylx 一个垃圾分类项目带你玩转飞桨多个产品(1) 基于PaddleClas实现垃圾分类,导出inference模型并利用PaddleHub Serving进行服务

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PyTorch deep learning projects made easy.

PyTorch Template Project PyTorch deep learning project made easy. PyTorch Template Project Requirements Features Folder Structure Usage Config file fo

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A machine learning package for streaming data in Python. The other ancestor of River.

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Official pytorch implementation of the AAAI 2021 paper Semantic Grouping Network for Video Captioning

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