Stars
Evaluating Efficiency and Accuracy in Predictive Modeling
Variable selection using MIQP (Gurobi) and LASSO methods
蓝桥杯官方练习系统VIP题库真题Python代码讲解(持续更新)
使用Canny边缘检测算法和霍夫变换(Hough Transform)算法来实现硬币的边缘检测
Probably the best curated list of data science software in Python.
Code for the 15th place submission at Trading at the Close competition
This project explores the parallelization of Convolutional Neural Networks (CNNs) using MPI, OpenMP, and CUDA to enhance performance and reduce computational time on the MNIST dataset
使用openMP共轭梯度算法的串行以及并行版本,并统计在不同数据规模以及不同的并行线程数下,共轭梯度算法完成运算所耗费的时间并比较.
Implementation of serial and parallel SGD for linear regression
Parallel implementation of the iterative algorithm for conjugate gradient method.
An optimized implementation of the DBSCAN algorithm in C++. The grid-based approach is optimized using parallelism, including OpenMP, C++ Concurrency API, and work-stealing technique. AVX instructi…
genetic algorithm implementation in c
This is my first work about parallel moea/mopso. In the paper, I proposed a parallel multiobjective evolution algorithm using both mpi and openmp.
A small (and sort of ongoing project) that implements SGD based algorithms with MPI.
In this repository, you will find a serial, shared-memory parallel, distributed-memory parallel and hybrid implementations of the conjugate gradient optimization simulation. This is a sparse linear…
Implementing a parallelized conjugate gradient algorithm using a hybrid of distributed (MPI) and shared (OpenMP) memory approach.
Stochastic gradient descent algorithm applied with Python, Cython, C++ and with parallel C++
Biconjugate gradient stabilized method in C++, OpenMP and MPI.
Parallelized versions of K-Means Clustering, Decision Tree, Collaborative Filtering using MPI library in C++