33 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Survival analysis built on top of scikit-learn | 324K | |
| The package computes point estimates and prediction intervals for Synthetic Cont... | 9K | |
| Silars - Alpha lens and backtesting library | 6K | |
| Details about the package | 5K | |
| qubit analysis tool | 3K | |
| A modular two-step convex optimization estimator for ill-posed problems | 2K | |
| Machine learning for biomarkers computing | 2K | |
| Code generation with CVXPY | 2K | |
| Opensource Python project for cancer radiation treatment planning [AAPM'23] | 2K | |
| Diffusion parameter EStImation with Gibbs and NoisE Removal pipeline Version 2 | 2K | |
| Whole Cell E. coli Model | 2K | |
| 1K | ||
| Federated Learning for Health | 984 | |
| Ramanujan Frame Expansion and Periodicity Transform | 947 | |
| AxSI for MRI data | 934 | |
| Efficient Allocation of Grid Energy Resources including Storage | 718 | |
| Financial Portfolio Optimization Algorithms | 711 | |
| Model agnostic and probabilistic survival analysis | 625 | |
| 577 | ||
| Python implementation of the feature relevance interval (FRI) algorithm | 569 | |
| Signomial and polynomial optimization via SAGE relaxations. | 477 | |
| AutoEMXSp - Automated Electron Microscopy X-Ray Spectroscopy for Compositional C... | 430 | |
| 421 | ||
| Benchmark for quadratic programming solvers available in Python | 343 | |
| CombOL - the Combinatorial Objects Library. | 331 | |
| Python implementation of various advanced MPC algorithms | 259 | |
| Augments popular QP solvers with differentiability | 189 | |
| a package for backtesting and factor analysis | 187 | |
| MASurvival: Missingness-Avoiding Survival Forest - An extension of scikit-surviv... | 186 | |
| The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package ... | 116 | |
| A Python library for manipulating, plotting and computing with polyhedral and el... | 110 | |
| Ollivier-Ricci curvature for -omic network analysis | 109 | |
| Optimal Action Extraction for Random Forests and Boosted Trees | 60 |
