Projects: pypi: cvxpy
https://packages.ecosyste.ms/registries/pypi.org/packages/cvxpy
A domain-specific language for modeling convex optimization problems in Python.
118 versions
Latest release: almost 3 years ago
139 dependent packages
724,604 downloads last month
Enhanced Analysis
Educational Contributors:
stevend2@stanford.edu
diamond@cs.stanford.edu
jpark@cs.stanford.edu
akshayka@cs.stanford.edu
rbarnes@umn.edu
parthnobel@berkeley.edu
cld72@cornell.edu
argriffi@ncsu.edu
mkoeppe@math.ucdavis.edu
rjmurray@berkeley.edu
umunee2@uic.edu
markn1@stanford.edu
paul.goulart@eng.ox.ac.uk
stesch@alumni.stanford.edu
anqif@stanford.edu
eryu@stanford.edu
takapoui@stanford.edu
moehle@stanford.edu
dplarson@ucsd.edu
poulson@stanford.edu
jlchen0@g.ucla.edu
jlchen0@ucla.edu
sieve121@umn.edu
stevend@dnab405d08.stanford.edu
xinyues@stanford.edu
dstonest@stanford.edu
bdamos@vt.edu
ungun@stanford.edu
guillean@stanford.edu
guille.angeris@stanford.edu
angeris@stanford.edu
goran.banjac@eng.ox.ac.uk
Repository Activity:
Repository Owner:
CVXPY (organization)
A Python-embedded modeling language for convex optimization
A Python-embedded modeling language for convex optimization
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+640
Educational commit emails
32 contributors with educational email addresses -
+6
Science terms in README
3 scientific terms found in README
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem -
-15
No science keywords
No scientific terms found in keywords/classifiers
Very Likely Science (100)
Papers Mentioning cvxpy 5
10.3389/fninf.2019.00064
The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made EasyCited by: 44
Author(s): Rutger Fick, Demián Wassermann, Rachid Deriche
Software Mentions: 4
Published: almost 7 years ago
10.7717/peerj-cs.366
Renyi entropy driven hierarchical graph clusteringCited by: 3
Author(s): Frédérique Oggier, Anwitaman Datta
Software Mentions: 2
Published: over 5 years ago
10.3389/fnagi.2020.603179
A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's DiseaseCited by: 10
Author(s): Ibrahim Almubark, Lin‐Ching Chang, Kyle F. Shattuck, Thanh Nguyen, R. Scott Turner, Xiong Jiang
Software Mentions: 2
Published: over 5 years ago
10.3389/fphys.2021.738973
Toward Predicting Human Performance Outcomes From Wearable Technologies: A Computational Modeling ApproachCited by: 7
Author(s): Tad T. Brunyé, Kenny Yau, Kana Okano, Grace Elliott, Sara Olenich, Grace E. Giles, Ester Navarro, Seth Elkin-Frankston, Alexander L Young, Eric L. Miller
Software Mentions: 2
Published: almost 5 years ago
10.3390/s21041462
Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-DataCited by: 14
Author(s): Soo-Hyun Park, Soyi Jung, Haemin Lee, Joongheon Kim, Jae Hyun Kim
Software Mentions: 1
Published: over 5 years ago