Johann-Huber / batchnorm_pytorchLinks
A simple implementation of Batch Normalization using pytorch.
☆44Updated 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:
- A crash course on PyTorch hooks☆40Updated 5 years ago
- A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-…☆115Updated 3 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Updated 3 years ago
- https://cs330.stanford.edu/☆62Updated 2 years ago
- A modular PyTorch library for vision transformer models☆164Updated 2 years ago
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.☆67Updated 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
- Triplet-net and triplet loss implementation on pytorch☆41Updated 4 years ago
- Paper implementations from scratch and machine learning tutorials☆348Updated 2 years ago
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆177Updated 3 years ago
- 📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.☆237Updated 2 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- Implementation of Vision Transformer from scratch and performance compared to standard CNNs (ResNets) and pre-trained ViT on CIFAR10 and …☆118Updated last year
- Calibration of Convolutional Neural Networks☆171Updated 2 years ago
- ☆73Updated 4 years ago
- ☆30Updated 7 years ago
- Code release for "Semi-supervised learning made simple with self-supervised clustering"☆60Updated 2 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆169Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated 2 years ago
- ☆133Updated 2 years ago
- Probing the representations of Vision Transformers.☆337Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆164Updated 3 years ago
- Compare neural networks by their feature similarity☆376Updated 2 years ago
- This repository is for coding exercises listed in Book Hands on One Shot Learning.☆113Updated 2 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆153Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆153Updated 3 years ago
- https://slds-lmu.github.io/seminar_multimodal_dl/☆171Updated 3 years ago
- Transformers w/o Attention, based fully on MLPs☆97Updated last year
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Updated 2 years ago
- VICRegL official code base☆230Updated 2 years ago