gugarosa / learnergyLinks
💡 Learnergy is a Python library for energy-based machine learning models.
☆65Updated 3 months ago
Alternatives and similar repositories for learnergy
Users that are interested in learnergy are comparing it to the libraries listed below
Sorting:
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆42Updated 2 years ago
- ☆46Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆49Updated last year
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- ☆51Updated 10 months ago
- Implementation of deep implicit attention in PyTorch☆65Updated 3 years ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Notebooks from DS3 course on practical optimization☆15Updated 4 years ago
- A simple hypernetwork implementation in jax using haiku.☆23Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 3 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- ☆36Updated 2 years ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆72Updated 2 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Hierarchical Associative Memory User Experience☆100Updated last year
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Normalizing Flows using JAX☆83Updated last year
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆204Updated 9 months ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆77Updated 11 months ago
- Lightweight Cluster/Cloud VM Job Management 🚀☆41Updated 9 months ago
- Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep R…☆170Updated last year