lemon1256's Stars
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
qsharp-community/qram
Library for Q# implementing various qRAM proposals
yardstiq/quantum-benchmarks
benchmarking quantum circuit emulators for your daily research usage
QuantumAI-lib/NISQAI
A Python toolkit for quantum neural networks.
RahulShagri/1D-Beam-Element-2-DOF-FEM-Solver
A basic FEM Solver that can be used to analyse 1D Beam element structures that include movement and rotational constraints, and 1D forces acting at the nodes.
Strilanc/Quirk
A drag-and-drop quantum circuit simulator that runs in your browser. A toy for exploring and understanding small quantum circuits.
maniraman-periyasamy/QKNN
A Quantum K-Nearest Neighbors classifier
qcc4cp/qcc
Source code for the book "Quantum Computing for Programmers", Cambridge University Press
SashwatAnagolum/DoNew
Repository for storing quantum computing algorithms.
RigelAlgebar/CDL-QHack-2022
Repository for the CDL Quantum Hackathon 2022
TheHouseOfVermeulens/Quantum-ML
Journey in Quantum ML
deeepeshthakur/ddtruss
Data-driven computational mechanics solver for truss structures
helenup/Quantum-Euclidean-Distance
Quantum Euclidean Distance using Qiskit
faical-allou/clustering_od
K-means Clustering Algorithm in pure Python 3.5 (solved with Lloyds algorithm)
tunaMaestro97/Quantum-K-means-Clustering
Quantum K-means Clustering Algorithm, Coded by Abhijat Sarma. Based on the paper "Quantum Unsupervised and Supervised Learning on Superconducting Processors", A Sarma, R Chatterjee, K Gili, T Yu. Quantum Information and Computation 20 (7&8), 541-552. Available at https://arxiv.org/abs/1909.04226. Feel free to use this code for nonprofit research, but please cite this paper if you do so.
JonasLandman/quantum_kmeans_NeurIPS_2019
Quantum algorithm simulation for implementing k-means clustering algorithm - NeurIPS 2019 Submission
smit14/Quantum-K-means-algorithm
Quantum computation is now encroaching in every field of science. One such use of quantum computation is shown here in a field of machine learning. This repository contains code for quantum K-means clustering algorithm. The python code is developed using QISKIT library created by IBMQ.
mspronesti/qlearnkit
A python library for quantum machine learning and quantum deep learning, built on top of qiskit and pennylane
Qiskit/qiskit-tutorials
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Morcu/q-means
Quantic implementation of the k-means clustering algorithm
ryanfmandelbaum/qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
Qiskit/platypus
Qiskit Textbook (beta)
qiskit-community/qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
ritukeshbharali/openFE2
A parallel multi-scale FE2 code based on COMSOL Multi-physics and MATLAB
namisan/mt-dnn
Multi-Task Deep Neural Networks for Natural Language Understanding
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
mli/paper-reading
深度学习经典、新论文逐段精读
trilinos/Trilinos
Primary repository for the Trilinos Project
zhongyang219/TrafficMonitor
这是一个用于显示当前网速、CPU及内存利用率的桌面悬浮窗软件,并支持任务栏显示,支持更换皮肤。
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville