SoojungYang / supervised_pretraining_GN_WSLinks
Supervised NN for pre-training. with group normalization and weight standardization
☆30Updated 5 years ago
Alternatives and similar repositories for supervised_pretraining_GN_WS
Users that are interested in supervised_pretraining_GN_WS are comparing it to the libraries listed below
Sorting:
- Unified Pytorch framework for image-based self-supervised learning☆93Updated 4 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Updated 5 years ago
- PyTorch implementation of shake-drop regularization☆55Updated 5 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 6 years ago
- Differentiable Data Augmentation Library☆124Updated 3 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆79Updated 3 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆62Updated 5 years ago
- ☆71Updated 6 years ago
- Implementing Billion-scale semi-supervised learning for image classification using Pytorch☆98Updated 6 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆68Updated 3 years ago
- Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)☆45Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆40Updated 5 years ago
- an implementation of mixup☆41Updated 5 years ago
- homura is a library for fast prototyping DL research☆106Updated 3 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch☆59Updated 6 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 2 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- PyTorch implementation of "EfficientNet", ICML 2019☆45Updated 6 years ago
- PyTorch implementation of PatchAutoAugment☆23Updated 3 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 6 years ago
- ☆100Updated 5 years ago
- Unofficial PyTorch Implementation of EvoNorm☆123Updated 4 years ago
- Semi-supervised ImageNet1K models☆246Updated 6 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆148Updated 3 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 6 years ago