BlueLumen's Stars
bianan/non-submodular-max
Source code for the paper "Guarantees for Greedy Maximization of Non-submodular Functions with Applications" in ICML 2017
gaoxiang12/slambook
datawhalechina/ensemble-learning
jmschrei/apricot
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
decile-team/submodlib
Summarize Massive Datasets using Submodular Optimization
datawhalechina/hello-net
Git-Model/Modeling-Universe
LinglingGreat/StudyAlgorithm
数据结构与算法
siyuxin/exercises-of-the-soul-of-calculation
计算之魂习题探讨
datawhalechina/wonderful-sql
Follow me,从 0 到 1 掌握 SQL。
datawhalechina/thorough-pytorch
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
Gnnng/SVDFeature
A recommend system forked from APEX
datawhalechina/free-excel
开源Excel教程。
datawhalechina/joyful-pandas
pandas中文教程