Johann-Huber / batchnorm_pytorchLinks
A simple implementation of Batch Normalization using pytorch.
☆45Updated 5 years ago
Alternatives and similar repositories for batchnorm_pytorch
Users that are interested in batchnorm_pytorch are comparing it to the libraries listed below
Sorting:
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Updated 2 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- A crash course on PyTorch hooks☆40Updated 5 years ago
- A modular PyTorch library for vision transformer models☆164Updated 2 years ago
- Paper implementations from scratch and machine learning tutorials☆348Updated last year
- A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-…☆114Updated 3 years ago
- https://cs330.stanford.edu/☆62Updated 2 years ago
- Triplet-net and triplet loss implementation on pytorch☆41Updated 3 years ago
- Self-Supervised Learning in PyTorch☆142Updated last year
- Calibration of Convolutional Neural Networks☆170Updated 2 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- [ICLR 2023] This repository includes the official implementation our paper "Can CNNs Be More Robust Than Transformers?"☆143Updated 2 years ago
- Metrics for out-of-distribution (OOD) detection performance evaluation☆49Updated 10 months ago
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.☆67Updated 2 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Updated 3 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆83Updated 3 years ago
- Implementation of Vision Transformer from scratch and performance compared to standard CNNs (ResNets) and pre-trained ViT on CIFAR10 and …☆114Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Visualizer for PyTorch image models☆44Updated 4 years ago
- ☆73Updated 4 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆154Updated 2 years ago
- This repository is for coding exercises listed in Book Hands on One Shot Learning.☆112Updated 2 years ago
- Visualizing image-specific class saliency map in classification ConvNets in Pytorch☆53Updated 4 years ago
- LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.☆23Updated 3 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆105Updated 2 years ago
- ☆134Updated 2 years ago
- Compare neural networks by their feature similarity☆373Updated 2 years ago
- Semantic Segmentation with Pytorch-Lightning☆63Updated 4 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆192Updated last year
- Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)☆176Updated 3 years ago