JHart96 / keras_ordinal_categorical_crossentropyLinks
Keras implementation of a loss function for ordinal categorical crossentropy.
☆31Updated 2 years ago
Alternatives and similar repositories for keras_ordinal_categorical_crossentropy
Users that are interested in keras_ordinal_categorical_crossentropy are comparing it to the libraries listed below
Sorting:
- Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)☆81Updated this week
 - Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…☆67Updated 11 months ago
 - An implementation of MixMatch with PyTorch☆36Updated 4 years ago
 - CONditionals for Ordinal Regression and classification in tensorflow☆17Updated 3 years ago
 - Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
 - Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers☆98Updated 7 years ago
 - ☆14Updated 4 years ago
 - A pytorch dataset sampler for always sampling balanced batches.☆118Updated 4 years ago
 - This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
 - A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 6 years ago
 - An implementation of the Deep Neural Decision Forests in PyTorch☆165Updated 6 years ago
 - Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 2 months ago
 - ☆26Updated 6 years ago
 - A few baselines with a standard tabular model☆38Updated 5 years ago
 - Code for AAAI 2019 Network Interpretability workshop paper☆16Updated 4 years ago
 - Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf☆103Updated 4 years ago
 - Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆76Updated 7 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
 - Python implementation of GLN in different frameworks☆97Updated 5 years ago
 - Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
 - DeViSE model (zero-shot learning) trained on ImageNet and deployed on AWS using Docker☆47Updated 6 years ago
 - Tools for training explainable models using attribution priors.☆124Updated 4 years ago
 - Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.☆126Updated 6 years ago
 - Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning☆88Updated last year
 - Spectral Normalization and Projection Discriminator☆18Updated 6 years ago
 - Keras implementation of Training Deep Neural Networks on Noisy Labels with Bootstrapping, Reed et al. 2015☆22Updated 4 years ago
 - Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 4 years ago
 - Implementation of Rectified Adam in Keras☆70Updated 6 years ago
 - Implementation of soft dynamic time warping in pytorch☆99Updated 4 years ago
 - Code for the paper "SelectiveNet: A Deep Neural Network with an Integrated Reject Option"☆12Updated 6 years ago