Danyal Maheshwari's repositories
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
CopilotForXcode
The missing GitHub Copilot and ChatGPT Xcode Source Editor Extension
effective_dimension
The power of quantum neural networks
ibm-quantum-challenge-2024
For IBM Quantum Challenge 2024 (5-14 June 2024)
MachineLearningExercises
A set of machine learning exercises
Phd_simulation_groundtruth
pflotran .in-files for testcases
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
QAOA_tutorial
Materials for the tutorial "Combinatorial Optimization on Quantum Computers"
QHack
QHack—The one-of-a-kind quantum computing hackathon
Qiskit
Caderno de tópicos em física III
Qiskit-Certification-Guide
This contains jupyter notebooks with examples for each section which would be quite helful.
qiskit-certified-exam-workbook
This is the workbook I created while I was studying for the Qiskit Associate Developer exam. I hope this becomes useful to others as it was for me :)
QKNN-1
Entanglement classification using classical and quantum KNN
qlearnkit
A python library for quantum machine learning, built with qiskit and pennylane
QMLDocker
A docker container for quantum machine learning (QML) research
quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
Quantum-Boltzmann-Machines
Quantum Restricted Boltzmann Machines based on the paper: https://arxiv.org/abs/1712.05304 (Code modified from the author's code to support the latest Forest apis and Python 3.x)
Quantum-Machine-learning
This codes can make the result of paper with the IBMQ devices.
QuantumForest
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
quantumML-health
Diabetes Prediction Using Quantum Neurons with Preprocessing Based on Hypercomplex Numbers
squlearn
sklearn interface for quantum algorithms