apozas / ebm-torch
Energy-based models in PyTorch
☆13Updated 4 years ago
Alternatives and similar repositories for ebm-torch:
Users that are interested in ebm-torch are comparing it to the libraries listed below
- ☆13Updated 2 years ago
- Graph Convolutional Networks in JAX☆31Updated 4 years ago
- ☆53Updated 6 months ago
- Simple illustrative examples for energy-based models in PyTorch☆61Updated 5 years ago
- ☆59Updated 6 years ago
- JAX implementation of Learning to learn by gradient descent by gradient descent☆27Updated 4 months ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 3 years ago
- ☆49Updated 6 months ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 3 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆62Updated 2 years ago
- Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)☆64Updated 6 months ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆24Updated 2 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆72Updated 2 years ago
- Implementation of deep implicit attention in PyTorch☆64Updated 3 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆88Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- A simple implementation of a deep linear Pytorch module☆19Updated 4 years ago
- ☆11Updated 3 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆40Updated 2 years ago
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆14Updated 5 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- ☆37Updated 2 years ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆29Updated 4 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago