EmoryMLIP / DynamicBlocksLinks
A pytorch toolbox designed for experimentation using a generalization of the Resnet design.
☆16Updated last year
Alternatives and similar repositories for DynamicBlocks
Users that are interested in DynamicBlocks are comparing it to the libraries listed below
Sorting:
- Codes for the paper The emergence of clusters in self-attention dynamics.☆16Updated last year
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 years ago
- Multi-Information Source Optimization☆24Updated 6 years ago
- Counting the number of conservation laws from trajectory data☆21Updated 4 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- Efficient construction and manipulation of nets with PyTorch☆8Updated last year
- Refining continuous-in-depth neural networks☆40Updated 3 years ago
- Neural Tangent Kernel (NTK) module for the scikit-learn library☆25Updated 8 months ago
- ☆21Updated 8 months ago
- Low precision random Fourier features for kernel approximation☆19Updated 5 years ago
- ☆18Updated 8 months ago
- Omnigrok: Grokking Beyond Algorithmic Data☆58Updated 2 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)☆20Updated 4 years ago
- ☆51Updated 11 months ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 6 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆29Updated 8 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- Implementing a Gaussian Process regression model from scratch☆23Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 3 weeks ago
- ☆27Updated 4 years ago
- ☆13Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆32Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Randomized algorithm class at CU☆13Updated 3 years ago
- ☆109Updated 4 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago