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Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Aer is a high performance simulator for quantum circuits that includes noise models
For IBM Quantum Fall Challenge 2022
Deeplearning.AI TensorFlow Advanced Techniques Specialization Solution
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Python code for "Tracking R of COVID-19 A New Real-Time Estimation Using the Kalman Filter".
The QuTiP quantum information processing package
Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development
Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
Fast C++ and Python library for state-vector simulation of quantum circuits.
[ARCHIVED] A university quantum algorithms/computation course supplement based on Qiskit
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
An open-source library built on Qiskit for quantum machine learning tasks at scale on quantum hardware and classical simulators
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
An open-source Python framework for hybrid quantum-classical machine learning.
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
Curated coding interview preparation materials for busy software engineers