cedricrommel / augnetLinks
Code of "Deep invariant networks with differentiable augmentation layers"
☆18Updated 2 years ago
Alternatives and similar repositories for augnet
Users that are interested in augnet are comparing it to the libraries listed below
Sorting:
- ☆51Updated 11 months ago
- ☆33Updated 2 years ago
- Implementation of LogAvgExp for Pytorch☆36Updated last month
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- Personal implementation of ASIF by Antonio Norelli☆25Updated last year
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆53Updated 2 years ago
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆22Updated 3 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated last year
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆29Updated 2 years ago
- ☆41Updated 2 years ago
- AdaCat☆49Updated 2 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆124Updated last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆66Updated 8 months ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆56Updated 2 years ago
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Updated last year
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆90Updated 3 years ago
- ☆8Updated last year
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆40Updated 2 years ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- Layerwise Batch Entropy Regularization☆23Updated 2 years ago
- ☆16Updated 2 years ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆69Updated 3 years ago
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆49Updated 8 months ago
- PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].☆17Updated 3 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year
- Deep Networks Grok All the Time and Here is Why☆36Updated last year
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year