daishu-li Goto Github PK

2020-bound-constrained-opt-benchmark

2020-rw-constrained-optimisation

a-stock-prediction-algorithm-based-on-machine-learning

（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

admm_release

Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''

amp_benchmark

Anti-Microbial Peptide Classification Benchmark Utility

awesome-blockchain-and-federated-learning

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

baoshengli96.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

braintumor

实现了垂体瘤、胶质瘤和脑膜瘤的图像分类，先进行CT/MR图像的分类，采用HOG+SVM算法实现，再进行图像识别，采用CNN或者多特征+SVM实现，系统界面pyQT搭建。

braintumorretrieval

bs.li

cec2014

cec2017-boundcontrained

classifier

Machine learning code, derivatives calculation and optimization algorithms developed during the Machine Learning course at Universidade de Sao Paulo. All codes in Python, NumPy and Matplotlib with example in the end of file.

cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

daishu-li.github.io

dazhongdianping

deploy-ml-fastapi-redis-docker

Deploy and scale machine learning models with FastAPI, Redis and Docker

deprofl

di_matlabtool

eeg_mi_wavelet_cnn_test

基于小波变换和卷积神经网络的脑电运动成像信号分类

envisedge

Deploy recommendation engines with Edge Computing

essential-math-r

Essential-Math-R

essentialmath

federatedlearning_daily

fedl_pytorch

This repository implements FEDL using pytorch

fl-daily

Crawl Federated Learning Arxiv Papers Everyday