liyaochong Goto Github PK
Name: 李尧翀
Type: User
Company: SMU
李尧翀's Projects
keras-cam
Keras implementation of class activation mapping
keras-grad-cam
An implementation of Grad-CAM with keras
kmeans-mnist
Kmeans implementation for MNIST in python
learn-quantum-machine-learning
Learn Quantum Machine Learning using pennylane framework
lssvm
Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
mathmodel
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
mdcnn
3D Convolutional Neural Network (CNN) for volumetric inputs. Matlab framework supporting 2D and 3D kernels
mnist-keras
Using various CNN techniques on the MNIST dataset
mobile-robot-foundation
python for code from The Fundamental of Mobile Robot(matlab)
msadnn
Mammography Screening Abnormality Detection with neural networks
multistart-minimize
A multistart global optimization algorithm for SciPy
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
neural_network
BP神经网络
nnqcompiler
Neural networks for quantum circuits
optimization
Algorithms for optimization tasks (operations research)
pennylane
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations
pylearn2
Warning: This project does not have any current developer. See bellow.
pyocr
Simple python application that uses a BP neural network to recognize handwritten characters. It includes a nice PyGTK interface.
python
All Algorithms implemented in Python
qaoa-for-exact-cover
Quantum computing course project: Implementing Quantum Approximate Optimisation Algorithm (QAOA) for exact cover problem using IBM qiskit
qaoa_maxcut
QAOA Maxcut
qaoa_tensor_networks_tutorial
A tutorial on evaluating the QAOA cost function with tensor networks
qaoa_tsp
Implementation of the Traveling Salesman Problem Using the Quantum Approximate Optimization Algorithm (QAOA)
qclassify
A Python framework for the variational quantum classifier
qcnn
quantum convolutional neural network - simulations
qiskit-optimization
Quantum Optimization
qiskit-sdk-py
Software development kit for writing quantum computing experiments, programs, and applications.
qosf_qaoa
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.
quantum-algorithm-learning-and-implementation
A group of quantum machine learning algorithm are implemented with the Qiskit
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