liyaochong Goto Github PK
Name: 李尧翀
Type: User
Company: SMU
Name: 李尧翀
Type: User
Company: SMU
Keras implementation of class activation mapping
An implementation of Grad-CAM with keras
Kmeans implementation for MNIST in python
Learn Quantum Machine Learning using pennylane framework
Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).
My blogs and code for machine learning. http://cnblogs.com/pinard
研究生数学建模,数学建模竞赛优秀论文,数学建模算法,LaTeX论文模板,算法思维导图,参考书籍,Matlab软件教程,PPT
3D Convolutional Neural Network (CNN) for volumetric inputs. Matlab framework supporting 2D and 3D kernels
Using various CNN techniques on the MNIST dataset
python for code from The Fundamental of Mobile Robot(matlab)
Mammography Screening Abnormality Detection with neural networks
A multistart global optimization algorithm for SciPy
Code samples for my book "Neural Networks and Deep Learning"
BP神经网络
Neural networks for quantum circuits
Algorithms for optimization tasks (operations research)
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations
Warning: This project does not have any current developer. See bellow.
Simple python application that uses a BP neural network to recognize handwritten characters. It includes a nice PyGTK interface.
All Algorithms implemented in Python
Quantum computing course project: Implementing Quantum Approximate Optimisation Algorithm (QAOA) for exact cover problem using IBM qiskit
QAOA Maxcut
A tutorial on evaluating the QAOA cost function with tensor networks
Implementation of the Traveling Salesman Problem Using the Quantum Approximate Optimization Algorithm (QAOA)
A Python framework for the variational quantum classifier
quantum convolutional neural network - simulations
Quantum Optimization
Software development kit for writing quantum computing experiments, programs, and applications.
This is my entry for QOSF's QC Mentorship program. It uses grove for a noisy and noiseless implementation of QAOA for maxcut for a weighted graph.
A group of quantum machine learning algorithm are implemented with the Qiskit
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.