unlearnai / neural-boltzmann-machinesLinks
Official Implementation of Neural Boltzmann Machines
☆24Updated 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:
- Implementation of approximate free-energy minimization in PyTorch☆19Updated 3 years ago
- Website for the ICML 2021 tutorial on Random Matrix Theory and Machine Learning☆15Updated 3 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- ☆15Updated 4 years ago
- an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets☆22Updated last year
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆22Updated 2 weeks ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- ☆30Updated 2 years ago
- Functional TensorFlow Implementation of Singular Value Decomposition for paper Fast Graph Learning☆13Updated 4 years ago
- Lab session of the course generative modeling☆14Updated 2 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆14Updated 6 years ago
- Perceiver (transformer variant) implemented in JAX and Flax☆12Updated 4 years ago
- ☆13Updated 2 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Graph Convolutional Networks in JAX☆32Updated 4 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- A differentiation API for PyTorch☆30Updated 5 years ago
- Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"☆38Updated last year
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- ☆21Updated last year