unlearnai / neural-boltzmann-machinesLinks
Official Implementation of Neural Boltzmann Machines
☆25Updated last year
Alternatives and similar repositories for neural-boltzmann-machines
Users that are interested in neural-boltzmann-machines are comparing it to the libraries listed below
Sorting:
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Graph Convolutional Networks in JAX☆33Updated 4 years ago
- ☆15Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Bayesian algorithm execution (BAX)☆50Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆50Updated 2 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Composable kernels for scikit-learn implemented in JAX.☆44Updated 4 years ago
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- Implementation of approximate free-energy minimization in PyTorch☆19Updated 3 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆41Updated 3 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- 💡 Learnergy is a Python library for energy-based machine learning models.☆66Updated 5 months ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- ☆12Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- ☆20Updated 3 years ago
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 4 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- Jax SSM Library☆49Updated 2 years ago
- ☆38Updated 2 years ago
- Talks from Neil Lawrence☆54Updated last year
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago