deel-ai / deel-torchlipLinks
Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see https://github.com/deel-ai/deel-lip
☆34Updated this week
Alternatives and similar repositories for deel-torchlip
Users that are interested in deel-torchlip are comparing it to the libraries listed below
Sorting:
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers☆100Updated 6 months ago
- 👋 Overcomplete is a Vision-based SAE Toolbox☆90Updated 2 months ago
- ☆11Updated last year
- New implementations of old orthogonal layers unlock large scale training.☆21Updated 3 weeks ago
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.☆60Updated 2 weeks ago
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆64Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆44Updated last week
- 🐟 CODS - Conformal Object Detection and Segmentation☆17Updated last week
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆25Updated 10 months ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆67Updated 2 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutiona…☆14Updated last year
- Large-scale uncertainty benchmark in deep learning.☆63Updated 5 months ago
- ☆37Updated 3 weeks ago
- A tiny library for stochastic dataset caching in PyTorch.☆43Updated last year
- Create animations for the optimization trajectory of neural nets☆159Updated last year
- Modular and intuitive Hypernetworks in Pytorch☆36Updated last year
- Laplace approximations for Deep Learning.☆518Updated 5 months ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆343Updated last year
- IVON optimizer for neural networks based on variational learning.☆72Updated 11 months ago
- LENS Project☆50Updated last year
- 🪄 Interpreto is an interpretability toolbox for LLMs☆35Updated last week
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆56Updated 2 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆208Updated 2 years ago
- Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning)…☆271Updated this week
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆58Updated 2 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆30Updated 3 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆149Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated 10 months ago