GitHub topics: submodular-optimization
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
Language: Jupyter Notebook - Size: 7 MB - Last synced at: 16 days ago - Pushed at: 10 months ago - Stars: 508 - Forks: 48
decile-team/submodlib
Summarize Massive Datasets using Submodular Optimization
Language: Jupyter Notebook - Size: 28.1 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 101 - Forks: 42
lab-v2/PyEDCR
PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization
Language: Python - Size: 16.2 GB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 1
buntonj/SFO_CPP
A fast, templated C++ header library for submodular optimization (subset selection) problems.
Language: C++ - Size: 13.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
malllabiisc/DiPS
NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
Language: Python - Size: 501 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 69 - Forks: 16
Nanthini10/Sub-modular-Optimization
Greedy and Lazy Greedy Sub Modular Optimisation
Language: Python - Size: 141 KB - Last synced at: 10 months ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 0
plusk01/Anticipated-VINS-Mono Fork of HKUST-Aerial-Robotics/VINS-Mono
visual-inertial odometry (VINS-Mono) with motion-aware feature selection
Language: C++ - Size: 90.3 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 63 - Forks: 5
glb400/Submodular-Matroids-Knapsacks
[AAAI 2023] Implementation of Submodular-Maximization-under-the-Intersection-of-Matroid-and-Knapsack-Constraints
Language: Julia - Size: 1.97 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Tixierae/EMNLP2017_NewSum
Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
Language: R - Size: 18.8 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 17 - Forks: 1
tlrmchlsmth/tms_submod
Routines for submodular set function minimization
Language: C++ - Size: 537 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0
UNCCharlotte-CS-Robotics/Gas-Leak-Estimation
Probabilistic Gas Leak Rate Estimation using Submodular Function Maximization with Routing Constraints
Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
tajanthan/memf
Memory Efficient Max Flow
Language: C++ - Size: 4.52 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1
testzer0/Submod-LDQA
Submodular Subset Selection for Long-Document Question Answering
Language: Python - Size: 927 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
VamshiTeja/SMDL
(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks
Language: Python - Size: 1.86 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 7
smferdous1/Submodular-b-matching
Implementation of Serial and Parallel Local Lazy Greedy for submodular b-matching
Language: Roff - Size: 104 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
fouratifares/RGL
Randomized Greedy Learning Under Full-bandit Feedback
Language: Python - Size: 150 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
crharshaw/SubmodularGreedy.jl
Efficient greedy-based methods for constrained submodular optimization.
Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1
joschout/SubmodularMaximization
A collection of optimization algorithms for maximizing unconstrained submodular set functions.
Language: Python - Size: 157 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 2
Pratik08/pytorch-submodular
A GPU accelerated Submodular Optimization toolkit.
Language: Python - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0
aryandeshwal/Submodular_Relaxation_BOCS
Python implementation of Scalable Combinatorial Bayesian Optimization with Tractable Statistical Models
Language: Python - Size: 43 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1
jmmanley/PySFM
Some tools for submodular function minimization in Python
Language: Python - Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 0
yhwang1990/Representative-Subset-Selection
Language: Java - Size: 39 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 2
ApurbaSengupta/Recommending-Movies
Recommending movies based on a utility function of movie ratings
Language: Python - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 2
gaurav71531/deltaSMF
delta-submodular work codes
Language: MATLAB - Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
avxxx/Optimizing-Project-2020
Проект по методам оптимизации, 3 курс, ФУПМ МФТИ
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
jialinyi94/assignment-problem
assignment problem framework
Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
pgoelz/migration
Simulation code for the paper “Migration as Submodular Optimization” by Paul Gölz and Ariel D. Procaccia.
Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
