Rachnog / From-Physics-To-GANsLinks
Code for the blog post
☆11Updated 4 years ago
Alternatives and similar repositories for From-Physics-To-GANs
Users that are interested in From-Physics-To-GANs are comparing it to the libraries listed below
Sorting:
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆36Updated 3 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 6 years ago
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- Distributed Training of Bayesian Neural Networks at Scale☆11Updated 5 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Updated 5 years ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- ☆18Updated 8 months ago
- ☆30Updated 2 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 4 years ago
- We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.☆26Updated 4 years ago
- Code for training on Imagenet to SOTA results using PyTorch☆13Updated last year
- Companion code for a tutorial on using Hydra.☆29Updated 4 years ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Python Package for simple Linear Algebra Tasks☆10Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 5 years ago
- ☆14Updated last year
- Transformer block in tf.keras similar to PyTorch's nn.Transformer block.☆9Updated 4 years ago
- ☆21Updated 8 months ago
- A neural network hyper parameter tuner☆30Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic …☆8Updated 7 years ago
- This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.☆37Updated 3 years ago
- code associated with paper "Sparse Bayesian Optimization"☆26Updated last year
- This material contains content on how to profile and optimize simple Pytorch mnist code using NVIDIA Nsight Systems and Pytorch Profiler☆13Updated 2 years ago
- Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀☆19Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- Repository containing article with examples of custom activation functions for Pytorch☆11Updated 5 years ago
- Libraries for Scientific Computing☆10Updated 6 years ago
- ☆13Updated 4 years ago