Alternatives and similar repositories for convex_nn:

Users that are interested in convex_nn are comparing it to the libraries listed below

• pilancilab / scnn
  Scalable Convex Neural Networks
  ☆22Updated 2 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆48Updated last year
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆50Updated last year
• QB3 / sparse-ho
  Fast hyperparameter settings for non-smooth estimators:
  ☆39Updated last year
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆20Updated 6 months ago
• diffprog / diffprog.github.io
  Website for the book "The Elements of Differentiable Programming".
  ☆13Updated 4 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆61Updated 4 months ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆38Updated 3 months ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆39Updated last week
• ConstrainedSampler / PolytopeSamplerMatlab
  A matlab implementation for sampling log-concave distributions with polytope constraints
  ☆15Updated 3 months ago
• zoq / Awesome-Optimizer
  Collect optimizer related papers, data, repositories
  ☆86Updated 2 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆100Updated this week
• cvxgrp / torch_linops
  A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.
  ☆11Updated last month
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆84Updated last week
• fidero / gp-derivative
  Example code to speed up GP inference with gradients for high-dimensional inputs.
  ☆14Updated 3 years ago
• HxSun08 / Alt-Diff
  ☆24Updated last year
• mathurinm / andersoncd
  This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…
  ☆17Updated 2 years ago
• PerformanceEstimation / Performance-Estimation-Toolbox
  Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…
  ☆53Updated 11 months ago
• BallisticLA / marla
  Matlab Algorithms for Randomized Linear Algebra
  ☆15Updated last year
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆113Updated 3 weeks ago
• TimRoith / BregmanLearning
  Optimizing neural networks via an inverse scale space flow.
  ☆16Updated last year
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated last year
• andyjm3 / Awesome-Riemannian-Optimization
  This repo contains papers, books, tutorials and resources on Riemannian optimization.
  ☆31Updated 2 months ago
• jongharyu / neural-svd
  ☆15Updated 4 months ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆23Updated 2 months ago
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated last year
• ivandariojr / LyapunovLearning
  ☆38Updated last year
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆39Updated 3 years ago