Reverse Dependencies of cvxpy
The following projects have a declared dependency on cvxpy:
- ropwr — RoPWR: Robust Piecewise Regression
- rSpringRank — Regularized methods for efficient ranking in networks
- rulelearn — This package contains a rule induction toolkit to generate readable and editable rules from data.
- RummikubConsole — Rummikub solver console with multi-game support and persistence.
- runningz — fe_master_runningz
- scikit-fairness — a collection of utilities to make algorithms more fair
- scikit-lego — A collection of lego bricks for scikit-learn pipelines
- scilpy — Scilpy: diffusion MRI tools and utilities
- scorepyo — This is the scorepyo repository.
- scpi-pkg — The package computes point estimates and prediction intervals for Synthetic Control methods as proposed in Cattaneo, Feng, and Titiunik (2021).
- scpopcorn — PopCorn is a new method for the identification of sub-populations of cells present within individual single cell experiments and mapping of these sub-populations across the experiments.
- scsprox — Fast proximal operators from CVXPY problems with CySCS
- shogunfolio — Portfolio optimization built on top of scikit-learn
- sig-decomp — Optimzation-based signal decomposition
- singletrader — a package for backtesting and factor analysis
- skfolio — Portfolio optimization built on top of scikit-learn
- skyplane — Skyplane efficiently transports data between cloud regions and providers.
- skyplane-dev — Skyplane efficiently transports data between cloud regions and providers.
- skyplane-nightly — Skyplane efficiently transports data between cloud regions and providers.
- smace — Semi-Model-Agnostic Contextual Explainer library
- smol — Lighthweight but caffeinated Python implementation of computational methods for statistical mechanical calculations of configurational states in crystalline material systems.
- solar-and-storage — Modelling for Solar and Storage
- solar-data-tools — Tools for performing common tasks on solar PV data signals
- sparse-lm — Sparse linear regression models
- spcqe — Smooth periodic consistent quantile estimation
- split_bill — package descrition
- statistical-clear-sky — Statistical estimation of a clear sky signal from PV system power data
- sua — Stochastic Unified Assistant (a.k.a SUA).
- surecr — This package enables tractable evaluation of Stein's Unbiased Risk Estimate on convexly regularized estimators.
- survlimepy — A python package implementing SurvLIME algorithm
- SyntheticControlMethods — A Python package for causal inference using various Synthetic Control Methods
- systemID — Package for time domain system identification. LTI and LTV systems, bilinear systems and nonlinear systems.
- TGPred — TGPred: Efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning, and optimization.
- thumoon — A python toolbox for hypergraph learning
- titus-optimize — A package for optimizing placements of containers.
- tnsgrt — Python library with support for analysis and design of Tensegrity structures
- toppra — toppra: time-optimal parametrization of trajectories for robots subject to constraints.
- toqito — Python toolkit for quantum information theory
- torchgel — PyTorch implementation of group elastic net
- trendfilter — Useful trendfilter algorithm
- trieste — A Bayesian optimization research toolbox built on TensorFlow
- TSAnalyzer — Python GNSS Time Series Analysis and Visualization
- unirec — A compact recommender library for universal recommendation systems
- uq4k — UQ4k: Uncertaininty Quantification of the 4th Kind
- usainboltz — Fast Boltzmann random generators for SageMath
- utlvce — no summary
- verifiNN — A package for robustness verification of neural networks using optimization methods.
- vnpy-extra — 基于VNPY进行功能拓展
- vqr — Vector Quantile Regression
- wadl-planner — route planner for UAV surveys
- WFacer — An automated workflow for constructing cluster expansion.
- wholecell-lens — no summary
- ws-benchmark — a weak supervision learning benchmark
- zetastitcher — ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.