peimengsui / semi_supervised_mnistLinks
☆25Updated 8 years ago
Alternatives and similar repositories for semi_supervised_mnist
Users that are interested in semi_supervised_mnist are comparing it to the libraries listed below
Sorting:
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆74Updated 5 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆221Updated 2 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- A straightforward mechanism to implement cost sensitive losses in pytorch☆47Updated 3 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆36Updated 4 years ago
- Python package to simplify plotting of metric like ROC curve, confusion matrix etc..☆70Updated last year
- An unofficial implementation of BYOL for self-supervised representation learning on CIFAR-10 (TensorFlow 2)☆23Updated 4 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆133Updated 4 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- Easy to use class balanced cross entropy and focal loss implementation for Pytorch☆99Updated 9 months ago
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆79Updated 2 years ago
- ☆155Updated last year
- ☆72Updated 4 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 4 years ago
- Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond☆84Updated 4 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆31Updated 3 years ago
- The official implementation of Triplet Attention.☆23Updated 3 years ago
- A Python Package for Deep Imbalanced Learning☆57Updated last month
- ☆39Updated 2 years ago
- T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition (EACL 2021)☆11Updated 2 years ago
- Pytorch exercises☆34Updated 5 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- Multi-class with imbalanced dataset classification☆84Updated 6 years ago
- ☆64Updated 5 years ago
- A curated list of resources dedicated to Positive Unlabeled(PU) learning ML methods.☆37Updated 2 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆120Updated 4 years ago
- Multi-head attention in PyTorch☆154Updated 6 years ago
- ☆19Updated 4 years ago
- Baseline model for multimodal classification based on images and text. Text representation obtained from pretrained BERT base model and i…☆41Updated 3 years ago
- The code of "Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering", ECML-PKDD 2020.☆21Updated 2 years ago