For IBM Quantum Challenge Africa 2021, 9 September (07:00 UTC) - 20 September (23:00 UTC).

Overview

IBM Quantum Challenge Africa 2021

To ensure Africa is able to apply quantum computing to solve problems relevant to the continent, the IBM Research Lab in South Africa and the University of the Witwatersrand have developed a quantum computing challenge that focuses on the fields of optimization, finance, and chemistry. This challenge will boost participant's quantum computing skills and give them the tools to devise the best solutions to real-world issues faced in Africa.

The challenge exercises are developed by African researchers for African learners, researchers, and industry professionals. Participants need not have any formal education in quantum computing, as the challenge focuses on its application to already existing classical problems.

The challenge will take place from 9 September (07:00 UTC) to 20 September (23:00 UTC). Read more about the challenge in the announcement blog.

Make sure to join the dedicated Slack channel #challenge-africa-2021 where you can connect with mentors and fellow attendees! Join the Qiskit Slack workspace here if you haven't already. Please also review our Slack Guidelines to make the most of your experience!

Event Code of Conduct

Preliminary Content

FAQ

Submitting Solutions

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Keon Lee 157 Jan 01, 2023
ADSPM: Attribute-Driven Spontaneous Motion in Unpaired Image Translation

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24 Jul 24, 2022
Multi-Task Deep Neural Networks for Natural Language Understanding

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Python-experiments - A Repository which contains python scripts to automate things and make your life easier with python

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Vivek Kumar Singh 11 Sep 25, 2022
On Out-of-distribution Detection with Energy-based Models

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Sven 19 Aug 07, 2022
Video-Captioning - A machine Learning project to generate captions for video frames indicating the relationship between the objects in the video

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1 Jan 23, 2022
Gesture-Volume-Control - This Python program can adjust the system's volume by using hand gestures

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VatsalAryanBhatanagar 1 Dec 30, 2021
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9 Jan 03, 2023
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1 Mar 18, 2022
Implementation of Neural Style Transfer in Pytorch

PytorchNeuralStyleTransfer Code to run Neural Style Transfer from our paper Image Style Transfer Using Convolutional Neural Networks. Also includes co

Leon Gatys 396 Dec 01, 2022
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Friederike Metz 7 Apr 23, 2022
FS-Mol: A Few-Shot Learning Dataset of Molecules

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Microsoft 114 Dec 15, 2022
Code artifacts for the submission "Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems"

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Andrea Stocco 2 Aug 24, 2022
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

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Amazon 92 Jan 04, 2023
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Google Research 135 Jan 01, 2023
DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment

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0 Dec 10, 2021
CONditionals for Ordinal Regression and classification in PyTorch

CONDOR pytorch implementation for ordinal regression with deep neural networks. Documentation: https://GarrettJenkinson.github.io/condor_pytorch About

7 Jul 25, 2022
Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)

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Denis Emelin 42 Nov 24, 2022
ROS support for Velodyne 3D LIDARs

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ROS device drivers 543 Dec 30, 2022
This is an official implementation for the WTW Dataset in "Parsing Table Structures in the Wild " on table detection and table structure recognition.

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109 Dec 29, 2022