Reverse Dependencies of cvxpy

The following projects have a declared dependency on cvxpy:

• a2dr — A Python package for type-II Anderson accelerated Douglas-Rachford splitting (A2DR).
• adlib — Game-theoretic adversarial machine learning library providing a set of learner and adversary modules.
• AdvEMDpy — Advanced Empirical Mode Decomposition package with numerous extensions to various aspects of core algorithm.
• aif360 — IBM AI Fairness 360
• aif360-fork2 — IBM AI Fairness 360
• algebraic-connectivity-directed — Python functions to compute various notions of algebraic connectivity of directed graphs
• Alpha-Mind — no summary
• alphascope — gen purpose quant fin library
• APGD — Accelerated Proximal Gradient Descent (APGD) algorithm to solve the penalized regression models
• arbitragelab — ArbitrageLab is a collection of algorithms from the best academic journals and graduate-level textbooks, which focuses on the branch of statistical arbitrage known as pairs trading. We have extended the implementations to include the latest methods that trade a portfolio of n-assets (mean-reverting portfolios).
• aspire — Algorithms for Single Particle Reconstruction
• axisproj — Axis-Aligned Decomposition of Linear Projections.
• backtrader-contrib-lucidinvestor — Contributions to the Backtrader backtesting engine - maintained by LucidInvestor
• bauwerk — Simple building control environments for reinforcement learning.
• benchq — "BenchQ platform for resource estimation"
• bfieldtools — Open-source Python software for magnetic field modeling
• birm-nm-foo — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
• bitbox — Behavioral Imaging Toolbox
• bofire — no summary
• burnman — A thermoelastic and thermodynamic toolkit for the Earth and planetary sciences
• cagraph — A package to generate graphs from calcium imaging data of neural activity.
• camex — Computational Applied Mathematics EXamples
• causal-lasso — Causal Lasso
• cbf-opt — CBF QP implementation in Python
• ceml — Counterfactuals for explaining machine learning models - A Python toolbox
• chyp — An interactive theorem prover for string diagrams
• cicriterion — Implementation of the cross-entropy information criterion and related algorithms.
• classical-doa — Classical DOA estimation algorithms implemented in Python
• clogistic — Constrained Logistic Regression
• clumppling — Clumppling: cluster matching and permutation program with integer linear programming
• combinatorial-peptide-pooling — TCR deorphanization using combinatorial pooling strategy
• coneref — no summary
• configcorr — Python code for configuration model for correlation/covariance matrices
• conv-opt — High-level Python package for solving linear and quadratic optimization problems using multiple solvers
• copepodTCR — COmbinatorial PEptide POoling for TCR specificity
• corneto — CORNETO
• cpsim — Simulation and Security Toolbox for Cyber-Physical Systems
• csmc — Matrix completion with column subset selection.
• cuatro — Convex qUAdratic Trust Region Optimizer.
• cvxcovariance — ...
• cvxgraphalgs — Modern convex optimization-based graph algorithms.
• cvxmg — Planning of Microgrids considering Demand Side Management Strategies using Disciplined Convex Deterministic and StochasticProgramming
• cvxportfolio — Portfolio optimization and back-testing.
• cvxpower — Power Network Optimization and Simulation.
• cvxpyanalyzer — Analyzer for CVXPY problems
• cvxpylayers — Differentiable convex optimization layers
• cvxreg — A Python Package for Convex Regression
• cvxrisk — Simple riskengine for cvxpy
• cvxRiskOpt — Risk-Based Optimization tool using CVXPY and CVXPYgen
• cvxstoc — A domain-specific language for modeling stochastic convex optimization problems in Python.
• dadra — Library for Data-Driven Reachability Analysis
• datadrivenquadrature — no summary
• dccp — A CVXPY extension for difference of convex programs.
• dcmpy — A discrete choice modeling package in python
• deareis — A GUI program for analyzing, simulating, and visualizing impedance spectra.
• Debias-Infer — Efficient Inference on High-Dimensional Linear Models With Missing Outcomes
• delphi-utils — Shared Utility Functions for Indicators
• dislib — The distributed computing library on top of PyCOMPSs
• disropt — DISROPT: a python framework for distributed optimization
• djmix — no summary
• dMO — A package for learning cutting planes for mixed-integer optimization problems.
• dowhy — DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
• dprox — A domain-specific language and compiler that transforms optimization problems into differentiable proximal solvers.
• dragg — no summary
• dro — A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch
• dsp-cvxpy — Disciplined Saddle Programming
• dwd — Distance Weighted Discrimination for Python
• dycw-utilities — no summary
• eaopack — A Framework for Optimizing Decentralized Portfolios and Green Supply
• elarb — Library for x
• elex-solver — A package for optimization solvers
• epopt — no summary
• equadratures — Polynomial approximations
• equal-odds — _PACKAGE UNDER CONSTRUCTION_
• equilibrator-pathway — Pathway analysis tools by eQuilibrator
• error-parity — Achieve error-rate parity between protected groups for any predictor
• etradebot — A Python-based trading bot for the E-Trade platform
• fairaudit — This package enables fairness auditing with statistical guarantees.
• fairensics — A library for fair machine learning.
• fancyimpute — Matrix completion and feature imputation algorithms
• fastlane-bot — Carbon Arbitrage Bot, an open-source arbitrage protocol, allows any user to perform arbitrage between Bancor ecosystem protocols and external exchanges and redirect arbitrage profits back to the protocol.
• FastMF — FastMF is a python package for microstructural property characterization using deep learning based on diffusion MRI data.
• fastpathplanning — An algorithm for path planning in sequences of safe boxes
• feloopy — FelooPy: Efficient and feature-rich integrated decision environment
• Flow2Spatial — Reconstructing spatial proteomics through transfer learning
• forest-benchmarking — QCVV and Benchmarking
• fri — Implementation of Feature Relevance Bounds method to perform Feature Selection and further analysis.
• google-vizier — Open Source Vizier: Distributed service framework for blackbox optimization and research.
• google-vizier-dev — Open Source Vizier: Distributed service framework for blackbox optimization and research.
• greykite — A python package for flexible forecasting
• gridemissions — no summary
• gym-anm — A framework to build Reinforcement Learning environments for Active Network Management tasks in electricity networks.
• HAQC — A Heuristic Algorithm Framework for Quantum Algorithms
• helstrom — A quantum state distinguisher with minimum theoretical worst-case probability of error.
• holisticai — Holistic AI Library
• hsbalance — Python tools for Practical Modeling and Solving High Speed Rotor Unbalance Problem
• hybrid-vector-model — Package to model the traffic of invasive species and disease vectors
• ibm-metrics-plugin — IBM Watson OpenScale Metrics library
• imhblpce — This module attempts to enhance contrast of a given image by employing a method called HBLPCE.
• inferlo — Inference, Learning & Optimization with Graphical Models