☆10Oct 27, 2023Updated 2 years ago
Alternatives and similar repositories for Lipschitz-SLL-Networks
Users that are interested in Lipschitz-SLL-Networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆13Jul 2, 2024Updated 2 years ago
- Code for paper Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks☆13Aug 9, 2022Updated 4 years ago
- [NeurIPS 2023] and [ICLR 2024] for robustness certification.☆10Nov 30, 2024Updated last year
- Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutiona…☆16Feb 2, 2024Updated 2 years ago
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆19Feb 20, 2022Updated 4 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.
- Direct parameterization of Lipschitz-bounded deep networks☆15May 28, 2023Updated 3 years ago
- LipSim [ICLR 2024]☆24Mar 19, 2024Updated 2 years ago
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…☆44Mar 23, 2026Updated 6 months ago
- ☆14Jul 20, 2026Updated 2 months ago
- The Code for Homeomorphic Projection☆14Sep 21, 2023Updated 3 years ago
- Detect wildfires using ML on images from cameras on vantage points☆11Sep 5, 2026Updated 2 weeks ago
- R-LPIPS [ICML W 2023]☆19Nov 14, 2023Updated 2 years ago
- Benchmarks for the VNN Comp 2023☆16Jun 7, 2024Updated 2 years ago
- New implementations of old orthogonal layers unlock large scale training.☆33Sep 19, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Some Gazebo plugins to simulate UWB and magnetic sensors.☆14Oct 11, 2024Updated last year
- EMMA [TMLR 2025]☆14Sep 25, 2025Updated 11 months ago
- SpotEdit [NeurIPS 2025 W]☆18Sep 24, 2025Updated last year
- "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)☆13Jan 17, 2023Updated 3 years ago
- ☆12Aug 28, 2023Updated 3 years ago
- OpenAI Gym wrapper for the Quanser Qube and Quanser Aero☆18Jan 17, 2023Updated 3 years ago
- Deriving steepest descent convergence bounds and hyperparameter scaling laws in machine learning optimization from first principles, form…☆17Apr 11, 2026Updated 5 months ago
- Website for MathVista☆21Jun 9, 2025Updated last year
- A repo where I play with conditional flow approaches for learning time-varying vector-fields.☆24Jun 4, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Learning inverse kinematics using invertible neural networks and GANs. Research project for "Advanced Deep Learning for Robotics".☆20Feb 6, 2022Updated 4 years ago
- Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising" (NeurIPS'23)☆15Jun 27, 2025Updated last year
- AC Optimal Power Flow (OPF) attempts to determine the setpoints of generators that would minimize the operating cost of a power system wh…☆19Aug 26, 2026Updated 3 weeks ago
- ☆21Dec 8, 2022Updated 3 years ago
- https://openreview.net/pdf?id=V5XDYSRcQP☆14May 22, 2025Updated last year
- PyPSA-Spain is an open-source model of the Spanish energy system based on the European model PyPSA-Eur☆20Sep 10, 2026Updated 2 weeks ago
- Implementation of the paper: "BRAVE : Broadening the visual encoding of vision-language models"☆26Jun 22, 2026Updated 3 months ago
- Equivariant plug-and-play algorithms☆20Aug 26, 2025Updated last year
- ☆12Jan 9, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"☆13Jun 18, 2024Updated 2 years ago
- Fast extremal eigensolvers for PyTorch.☆17Jun 4, 2021Updated 5 years ago
- ☆19Oct 12, 2023Updated 2 years ago
- For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]☆17Oct 8, 2024Updated last year
- ☆59Mar 29, 2023Updated 3 years ago
- ☆19Aug 30, 2023Updated 3 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆74Mar 7, 2022Updated 4 years ago