pilancilab / convex_nn
☆13Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for convex_nn
- Scalable Convex Neural Networks☆21Updated last week
- ☆15Updated 2 years ago
- Collect optimizer related papers, data, repositories☆82Updated last week
- Riemannian Optimization Using JAX☆45Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆36Updated 8 months ago
- Optimizing neural networks via an inverse scale space flow.☆15Updated 9 months ago
- Agustinus' very opiniated publication-ready plotting library☆58Updated 2 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆18Updated 5 years ago
- ☆22Updated 10 months ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆17Updated last year
- Distributed K-FAC Preconditioner for PyTorch☆80Updated this week
- Website for the book "The Elements of Differentiable Programming".☆13Updated 2 months ago
- Python Algorithms for Randomized Linear Algebra☆46Updated last year
- Anderson accelerated Douglas-Rachford splitting☆29Updated 3 years ago
- MATLAB implementation of the Scalable Semidefinite Programming☆26Updated 9 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆18Updated 4 months ago
- This repository contains code released by DiffEqML Research☆85Updated 2 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 4 months ago
- Nonparametric Differential Equation Modeling☆51Updated 8 months ago
- Simple (and cheap!) neural network uncertainty estimation☆56Updated 2 months ago
- Bayesian inference with Python and Jax.☆31Updated 2 years ago
- Functional models and algorithms for sparse signal processing☆88Updated last year
- A framework for composing Neural Processes in Julia☆76Updated 3 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 3 years ago
- A matlab implementation for sampling log-concave distributions with polytope constraints☆14Updated last month
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆34Updated 3 weeks ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆95Updated 2 months ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning☆36Updated 2 years ago