☆15Mar 3, 2022Updated 4 years ago
Alternatives and similar repositories for phys-vae
Users that are interested in phys-vae are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆20Sep 2, 2022Updated 3 years ago
- Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences☆14Aug 18, 2022Updated 3 years ago
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆23Oct 12, 2021Updated 4 years ago
- Code for the blog post☆12Jan 15, 2021Updated 5 years ago
- ☆10Mar 2, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for "EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels."☆20Nov 14, 2024Updated last year
- ☆15Nov 20, 2023Updated 2 years ago
- code accompanying the 2018 Soft Matter paper "Mechanics of biomimetic 4D printed structures"☆14Jul 2, 2025Updated 8 months ago
- [MICCAI 2025 Oral] Code for "EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training."☆26May 15, 2025Updated 10 months ago
- FlipnSlide: A Python Package for for Preserving Spatial Context when Preprocessing Large Scientific Images☆17Oct 13, 2025Updated 5 months ago
- A Reversible Jump Markov Chain Monte Carlo Library written by Rhys Hawkins, Research School of Earth Sciences, Australian National Univer…☆12Jun 6, 2022Updated 3 years ago
- To accompany the paper "Connecting Beamforming and Kernel-based Noise Source Inversion"☆14Apr 25, 2023Updated 2 years ago
- Code to reproduce experiments in Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows☆13May 23, 2024Updated last year
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Course repository for "Machine Learning for Earth and Environmental Sciences" (UNIL, FGSE, Fall 2022)☆14Oct 9, 2024Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Mar 19, 2026Updated last week
- ☆26Aug 4, 2023Updated 2 years ago
- ☆13May 30, 2023Updated 2 years ago
- QuantImPy, a Python library for scientific image processing.☆19Jun 17, 2022Updated 3 years ago
- Deep Generative ODE Modelling with Known Unknowns☆18Apr 22, 2021Updated 4 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Nov 24, 2023Updated 2 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆33Mar 9, 2020Updated 6 years ago
- AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data☆20Mar 9, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆11Oct 15, 2023Updated 2 years ago
- Modeling Human Motion Using Binary Latent Variables☆10Sep 30, 2017Updated 8 years ago
- 📖 A self-contained course to learn the basics of neural networks: from backprop to GPT! 🌻☆13Jan 28, 2026Updated last month
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 4 years ago
- Datasets and code for results presented in the ProbConserv paper☆56Jun 14, 2024Updated last year
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Jun 7, 2021Updated 4 years ago
- Adversarial Active Learning for Deep Networks☆14Oct 16, 2018Updated 7 years ago
- A simple API to read, write, and delete files in Swift.☆12Sep 25, 2021Updated 4 years ago
- A well-trained CNN model for earthquake detection on multiple stations.☆19Mar 29, 2025Updated 11 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code to reproduce paper results (or as close as possible, depending on data-availability). Each publication has a Jupyter notebook. Mostl…☆12Mar 8, 2024Updated 2 years ago
- ☆11Sep 23, 2023Updated 2 years ago
- Pytorch implementation for "Particle Flow Bayes' Rule"☆15Jun 22, 2019Updated 6 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆38Jun 14, 2022Updated 3 years ago
- Official Implementation of Constrained Neural Fields (CNF)☆15Jan 1, 2024Updated 2 years ago
- Simple two-dimensional geophysical inversion for permafrost and ground ice detection using electromagnetic methods.☆17Dec 5, 2022Updated 3 years ago