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deepdumbo's Projects

lihang-code icon lihang-code

李航《统计学习方法》第二版的代码实现

lihongyi-2021-colab icon lihongyi-2021-colab

本人在学习李宏毅老师2021年机器学习深度学习课程时使用的colab文件

listed-company-news-crawl-and-text-analysis icon listed-company-news-crawl-and-text-analysis

从新浪财经、每经网、金融界、**证券网、证券时报网上,爬取上市公司(个股)的历史新闻文本数据进行文本分析、提取特征集,然后利用SVM、随机森林等分类器进行训练,最后对实施抓取的新闻数据进行分类预测

livianet icon livianet

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

lkdl icon lkdl

matlab source code for linearized kernel dictionary learning for action recognition

lore-gn icon lore-gn

Parameter estimation approach to banding artifact reduction in balanced steady-state free precession.

loupe icon loupe

Learning-based Optimization of the Under-sampling Pattern in MRI

low-rank-opt-rapid-eig icon low-rank-opt-rapid-eig

This software package handles phase retrieval with a low-rank solver. Supports rapid eigenvalue computation and decreased runtime.

lowranktrn icon lowranktrn

Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"

lrmf-varpro icon lrmf-varpro

A home-grown C++ implementation of VarPro (RW2) for matrix factorization

lrsd-tnnsr icon lrsd-tnnsr

This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a Sparse Regularizer"

lrslibrary icon lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

lrtfl0 icon lrtfl0

code of "Hyperspectral restoration via L0 Gradient Regularized Low-Rank Tensor factorization"

ls-net-dynamic-mri icon ls-net-dynamic-mri

This the code repository for paper "Deep Low-rank plus Sparse Network for Dynamic MR Imaging".

lstm icon lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstm-oreilly icon lstm-oreilly

How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.

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