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Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

An open-source Python framework for hybrid quantum-classical machine learning.

Curated list of open-source quantum software projects.

The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

An open-source library built on Qiskit for quantum machine learning tasks at scale on quantum hardware and classical simulators

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

Machine learning algorithms for many-body quantum systems