gugarosa / learnergyLinks
π‘ Learnergy is a Python library for energy-based machine learning models.
β69Updated 3 weeks ago
Alternatives and similar repositories for learnergy
Users that are interested in learnergy are comparing it to the libraries listed below
Sorting:
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)β122Updated 4 years ago
- Composable kernels for scikit-learn implemented in JAX.β46Updated 5 years ago
- Bayesian algorithm execution (BAX)β55Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)β125Updated 2 years ago
- Hierarchical Associative Memory User Experienceβ106Updated 2 weeks ago
- Some small scale experiments for my blog posts πβ80Updated 3 years ago
- Riemannian Convex Potential Mapsβ67Updated 2 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Kerasβ48Updated 4 months ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)β42Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)β89Updated 3 years ago
- β50Updated 2 years ago
- β214Updated 3 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"β61Updated 3 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimationβ67Updated 3 years ago
- β195Updated 3 weeks ago
- Stochastic Automatic Differentiation library for PyTorch.β208Updated last year
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.β22Updated 5 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.β78Updated last year
- Variational inference for hierarchical dynamical systemsβ50Updated last year
- Efficient Householder Transformation in PyTorchβ69Updated 4 years ago
- Keras implementation of Legendre Memory Unitsβ214Updated 2 months ago
- Documentation:β125Updated 2 years ago
- Pytorch implementation of the Power Spherical distributionβ75Updated last year
- Jax SSM Libraryβ48Updated 3 years ago
- Differentiable Algorithms and Algorithmic Supervision.β116Updated 2 years ago
- Normalizing Flows using JAXβ86Updated 2 years ago
- A library for uncertainty quantification based on PyTorchβ121Updated 4 years ago
- Official code for UnICORNN (ICML 2021)β28Updated 4 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deepβ¦β152Updated 4 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."β47Updated 7 years ago