remilepriol / dualityvizLinks
An interactive visualization of convex duality (Fenchel conjugate)
☆20Updated 4 years ago
Alternatives and similar repositories for dualityviz
Users that are interested in dualityviz are comparing it to the libraries listed below
Sorting:
- ☆80Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Neural network verification in JAX☆145Updated last year
- Folklore facts on probability distribution learning, testing, and whatever-ing☆263Updated 5 months ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Updated 3 years ago
- ☆169Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…☆54Updated last year
- ☆214Updated 3 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- Differentiation through cone programs☆102Updated 3 weeks ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- LaTeX style file for the Journal of Machine Learning Research☆143Updated last year
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆88Updated this week
- ☆52Updated last year
- Stochastic Automatic Differentiation library for PyTorch.☆205Updated 11 months ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Bayesian algorithm execution (BAX)☆50Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 5 months ago
- Riemannian Optimization Using JAX☆51Updated last year
- This repository contains the Julia code for the paper "Competitive Gradient Descent"☆25Updated 5 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Sketched matrix decompositions for PyTorch☆70Updated this week
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 10 months ago