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

scikit-learn: machine learning in Python

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scikit-learn 52.5k Jan 08, 2023
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Sayak Paul 87 Dec 06, 2022
Hashformers is a framework for hashtag segmentation with transformers.

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Ruan Chaves 41 Nov 09, 2022
Back to Event Basics: SSL of Image Reconstruction for Event Cameras

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PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs

Prototypical Networks for Few shot Learning in PyTorch Simple alternative Implementation of Prototypical Networks for Few Shot Learning (paper, code)

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Approaches to modeling terrain and maps in python

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John Gutierrez 1 Aug 10, 2022
Implementation of TabTransformer, attention network for tabular data, in Pytorch

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Phil Wang 420 Jan 05, 2023
A motion detection system with RaspberryPi, OpenCV, Python

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Nouroz Rahman 410 Jan 05, 2023
PPO is a very popular Reinforcement Learning algorithm at present.

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Rosefintech 11 Aug 23, 2021
Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.

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Xin Xia 42 Dec 09, 2022
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

ELECTRA Introduction ELECTRA is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using

Google Research 2.1k Dec 28, 2022
SimDeblur is a simple framework for image and video deblurring, implemented by PyTorch

SimDeblur (Simple Deblurring) is an open source framework for image and video deblurring toolbox based on PyTorch, which contains most deep-learning based state-of-the-art deblurring algorithms. It i

220 Jan 07, 2023
particle tracking model, works with the ROMS output file(qck.nc, his.nc)

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xusheng 1 Jan 11, 2022
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics

FusionNet_Pytorch FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics Requirements Pytorch 0.1.11 Pyt

Choi Gunho 102 Dec 13, 2022
implementation of the paper "MarginGAN: Adversarial Training in Semi-Supervised Learning"

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Van 7 Dec 23, 2022
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Semantic Scholar's Author Disambiguation Algorithm & Evaluation Suite

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AI2 54 Nov 28, 2022
Aligning Latent and Image Spaces to Connect the Unconnectable

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Ivan Skorokhodov 203 Jan 03, 2023
A SAT-based sudoku solver

SAT Sudoku solver A SAT-based Sudoku solver made in the context of a small project in the "Logic Problem Solving" class in the first year at the Polyt

Alexandre Malfreyt 5 Apr 15, 2022