sun-umn / NCVXLinks
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning
☆38Updated 3 years ago
Alternatives and similar repositories for NCVX
Users that are interested in NCVX are comparing it to the libraries listed below
Sorting:
- PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation☆43Updated 2 months ago
- Adaptive gradient descent without descent☆50Updated 4 years ago
- Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'☆23Updated 6 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 3 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- Efficient Householder Transformation in PyTorch☆69Updated 4 years ago
- ☆105Updated 4 years ago
- ☆50Updated 2 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆63Updated 3 years ago
- ☆50Updated last year
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆45Updated 6 years ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago
- ☆68Updated 6 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆249Updated 2 months ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago