barnrang / Prototypical-network-keras-reimplementationLinks
My course work to reimplement a paper
☆15Updated 4 years ago
Alternatives and similar repositories for Prototypical-network-keras-reimplementation
Users that are interested in Prototypical-network-keras-reimplementation are comparing it to the libraries listed below
Sorting:
- An implementation of "Prototypical Networks for Few-shot Learning" on a notebook in Pytorch☆57Updated 5 years ago
- Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0☆53Updated last year
- Some State-of-the-Art few shot learning algorithms in tensorflow 2☆214Updated last year
- A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.☆84Updated 2 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 5 years ago
- Example of one shot learning and few shot learning with omniglot dataset.☆24Updated 4 years ago
- ☆76Updated 5 years ago
- TF2 implementation of a domain adversarial neural network☆12Updated 5 years ago
- Pytorch implementation of Siamese networks that learns to classify its inputs, the neural networks learns to differentiate between two pe…☆32Updated 6 years ago
- Variational Auto Encoder using Inception module in PyTorch☆21Updated 6 years ago
- Hands-On One-shot Learning with Python, published by Packt☆52Updated 2 years ago
- Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code for off-the-shelf classification and fine…☆60Updated 2 years ago
- This is a Pytorch implementation of the 2014 paper named Domain Adversarial Training of Neural Networks☆10Updated 4 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago
- Vision Transformer Cookbook with Tensorflow☆336Updated 3 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- Combination of Keras CNN with Scikit-learn classifiers.☆26Updated 7 years ago
- Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)☆111Updated 5 months ago
- A Python library for visualizing convolutional neural networks.☆18Updated 4 years ago
- Model-Agnostic Meta-Learning in PyTorch☆11Updated 4 years ago
- my codes for learning attention mechanism☆50Updated 5 years ago
- EscVM YouTube Channel Repository. Start from Notebooks ⬅️☆65Updated 9 months ago
- Implementation of self-supervised image-level contrastive pretraining methods using Keras.☆70Updated 3 years ago
- MIMII Sound Anomaly Detection with AutoEncoders☆38Updated 3 years ago
- DeepStack: Ensembling Keras Deep Learning Models into the next Performance Level☆38Updated 2 years ago
- The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET☆121Updated last year
- Pseudo Labelling on MNIST dataset in Tensorflow 2.x☆10Updated 2 years ago
- Domain adaptation made easy. Fully featured, modular, and customizable.☆377Updated 2 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆27Updated 4 years ago