idearibosome / embracenetLinks
Robust multimodal integration method implemented in PyTorch and TensorFlow
☆87Updated 4 years ago
Alternatives and similar repositories for embracenet
Users that are interested in embracenet are comparing it to the libraries listed below
Sorting:
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- an implementation of mixup☆41Updated 5 years ago
- Multi-task learning for image classification implemented in PyTorch.☆99Updated 6 years ago
- TensorFlow implementation of "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments".☆86Updated 3 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
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆155Updated 5 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- ☆57Updated 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
- Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.☆133Updated 5 years ago
- SpinalNet: Deep Neural Network with Gradual Input☆178Updated last year
- Supervised NN for pre-training. with group normalization and weight standardization☆30Updated 5 years ago
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 4 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- my codes for learning attention mechanism☆50Updated 5 years ago
- This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".☆41Updated last year
- Experiments with supervised contrastive learning methods with different loss functions☆221Updated 2 years ago
- A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore Nationa…☆45Updated 4 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆132Updated 3 years ago
- This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for…☆55Updated 6 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆146Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆78Updated 3 years ago
- Label de-noising for deep learning☆58Updated 5 years ago
- TF 2.x implementation of MoCo v1 (Momentum Contrast for Unsupervised Visual Representation Learning, CVPR 2020) and MoCo v2 (Improved Bas…☆27Updated 4 years ago
- Deep Adaptive Image Clustering Paper Implementation☆31Updated 6 years ago
- [Re-implementation] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence☆15Updated 5 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆172Updated 4 years ago