facebookresearch / grounding-inductive-biases
reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"
☆17Updated 4 months ago
Alternatives and similar repositories for grounding-inductive-biases:
Users that are interested in grounding-inductive-biases are comparing it to the libraries listed below
- Official code for the paper: "Metadata Archaeology"☆18Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated 9 months ago
- This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.☆14Updated 3 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆15Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- Shows how to do parameter ensembling using differential evolution.☆10Updated 3 years ago
- ☆24Updated 8 months ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago
- ☆25Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆23Updated 4 years ago
- ☆17Updated 2 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- An open source implementation of CLIP.☆32Updated 2 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 4 years ago
- A simple Transformer where the softmax has been replaced with normalization☆19Updated 4 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- Neural Arithmetic Logic Units by Trask et al.☆12Updated 5 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Updated 4 years ago
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Updated 4 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆17Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated last year
- Implementation of Kronecker Attention in Pytorch☆18Updated 4 years ago
- ☆40Updated last year
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- A JAX nn library☆21Updated 11 months ago
- (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets☆12Updated 4 years ago
- Implementation of LogAvgExp for Pytorch☆32Updated 2 years ago
- ImageNet-12k subset of ImageNet-21k (fall11)☆21Updated last year
- ☆21Updated 3 years ago