gomes-lab

Carla Gomes's lab at Cornell University

Pinned Repositories

BackgroundSubtraction.jl
Language:Julia00
CLR-DRNets
This is the repo for the paper: CLR-DRNets: Curriculum learning with restarts to solve visual combinatorial games
Language:Python1 1 00
course-cs2770-2021sp
01
Dam-Portfolio-Selection-Expansion-and-Compression-CPAIOR
This is the source code for the paper Efficiently Approximating High-dimensional Pareto Frontiers for Tree-structured Networks using Expansion and Compression, CPAIOR 2023. We will release the source code soon.
Language:C++02
DMVP-DRNets
Language:Python2 1 00
DRNets-Nature-Machine-Intelligence
Language:Jupyter Notebook13 1 05
H-CLMP
Language:Python5 1 26
Mat2Spec
Language:Python27 0 010
Pareto-Frontier
Language:C++1 0 02
SARA_ScienceAdvances
Language:Julia10

gomes-lab/Mat2Spec
Language:Python27 0 010
gomes-lab/DRNets-Nature-Machine-Intelligence
Language:Jupyter Notebook13 1 05
gomes-lab/H-CLMP
Language:Python5 1 26
gomes-lab/DMVP-DRNets
Language:Python2 1 00
gomes-lab/CLR-DRNets
This is the repo for the paper: CLR-DRNets: Curriculum learning with restarts to solve visual combinatorial games
Language:Python1 1 00
gomes-lab/Pareto-Frontier
Language:C++1 0 02
gomes-lab/SARA_ScienceAdvances
Language:Julia10
gomes-lab/BackgroundSubtraction.jl
Language:Julia00
gomes-lab/course-cs2770-2021sp
01
gomes-lab/course-cs2770-2023sp
Course materials and assignments for AEM/CS/IS 2770 SP23
Language:Jupyter Notebook0 0 01
gomes-lab/Dam-Portfolio-Selection-Expansion-and-Compression-CPAIOR
This is the source code for the paper Efficiently Approximating High-dimensional Pareto Frontiers for Tree-structured Networks using Expansion and Compression, CPAIOR 2023. We will release the source code soon.
Language:C++02
gomes-lab/course-cs2770-2024sp
Course materials for Cornell's AEM/IS/CS 2770 SP4 - Excursions in Computational Sustainability
Language:Jupyter Notebook2