pilancilab / scnnLinks
Scalable Convex Neural Networks
☆24Updated 6 months ago
Alternatives and similar repositories for scnn
Users that are interested in scnn are comparing it to the libraries listed below
Sorting:
- Loopy belief propagation for factor graphs on discrete variables in JAX☆158Updated last year
- The Energy Transformer block, in JAX☆61Updated last year
- ☆17Updated 4 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated last year
- ☆60Updated last month
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆146Updated last week
- LaTeX style file for the Journal of Machine Learning Research☆158Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆60Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 6 months ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 6 months ago
- Pre-trained Gaussian processes for Bayesian optimization☆97Updated 7 months ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆38Updated 3 years ago
- Open source code for EigenGame.☆33Updated 2 years ago
- Omnigrok: Grokking Beyond Algorithmic Data☆62Updated 2 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆93Updated 3 years ago
- Hierarchical Associative Memory User Experience☆104Updated last week
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- ☆19Updated 3 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- About A collection of AWESOME things about information geometry Topics☆171Updated last year
- A Python package for generating concise, high-quality summaries of a probability distribution☆54Updated 2 weeks ago
- Bayesian model reduction for probabilistic machine learning☆11Updated 4 months ago
- Tidy autoregressive inference in JAX☆15Updated 2 months ago
- ☆53Updated last year
- Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.☆20Updated 5 years ago
- ☆15Updated 3 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆89Updated last year