gugarosa / learnergy
💡 Learnergy is a Python library for energy-based machine learning models.
☆65Updated 2 months ago
Alternatives and similar repositories for learnergy
Users that are interested in learnergy are comparing it to the libraries listed below
Sorting:
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Documentation:☆119Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆116Updated 4 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 3 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆77Updated 11 months ago
- Normalizing Flows using JAX☆83Updated last year
- ☆51Updated 9 months ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Deep Probabilistic Programming Course @ DIKU☆57Updated 4 years ago
- Jax SSM Library☆49Updated 2 years ago
- Tools for examining the causal structure of artificial neural networks with information theory☆21Updated 4 years ago
- LaTeX source code for the slides☆23Updated 3 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 3 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 9 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- An implementation of Resonator Networks☆19Updated 4 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆104Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆118Updated last year
- List of awesome JAX resources☆13Updated 2 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Mac…☆41Updated 2 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 5 years ago