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
CS550 Machine Learning course project on CNN Detection.

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Simulating an AI playing 2048 using the Expectimax algorithm

2048-expectimax Simulating an AI playing 2048 using the Expectimax algorithm The base game engine uses code from here. The AI player is modeled as a m

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Pip-package for trajectory benchmarking from "Be your own Benchmark: No-Reference Trajectory Metric on Registered Point Clouds", ECMR'21

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A PyTorch implementation of the continual learning experiments with deep neural networks

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BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022)

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Full body anonymization - Realistic Full-Body Anonymization with Surface-Guided GANs

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Official implementation of AAAI-21 paper "Label Confusion Learning to Enhance Text Classification Models"

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Optimizes image files by converting them to webp while also updating all references.

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Pytorch implementation of SenFormer: Efficient Self-Ensemble Framework for Semantic Segmentation

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Pytorch implementation of OCNet series and SegFix.

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Official implementation of "Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets" (CVPR2021)

Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets This is the official implementation of "Towards Good Pract

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New AidForBlind - Various Libraries used like OpenCV and other mentioned in Requirements.txt

AidForBlind Recommended PyCharm IDE Various Libraries used like OpenCV and other

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Code repository for "Reducing Underflow in Mixed Precision Training by Gradient Scaling" presented at IJCAI '20

Reducing Underflow in Mixed Precision Training by Gradient Scaling This project implements the gradient scaling method to improve the performance of m

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SafePicking: Learning Safe Object Extraction via Object-Level Mapping, ICRA 2022

SafePicking Learning Safe Object Extraction via Object-Level Mapping Kentaro Wad

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Heterogeneous Temporal Graph Neural Network

Heterogeneous Temporal Graph Neural Network This repository contains the datasets and source code of HTGNN. run_mag.ipynb is the training and testing

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A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

chitra What is chitra? chitra (चित्र) is a multi-functional library for full-stack Deep Learning. It simplifies Model Building, API development, and M

Aniket Maurya 210 Dec 21, 2022
Amazing-Python-Scripts - 🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

📑 Introduction A curated collection of Amazing Python scripts from Basics to Advance with automation task scripts. This is your Personal space to fin

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PyTorch framework for Deep Learning research and development.

Accelerated DL & RL PyTorch framework for Deep Learning research and development. It was developed with a focus on reproducibility, fast experimentati

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Clustering is a popular approach to detect patterns in unlabeled data

Visual Clustering Clustering is a popular approach to detect patterns in unlabeled data. Existing clustering methods typically treat samples in a data

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Sakib Mahmud 1 Nov 15, 2021