bier
Metric learner
This project implements a deep metric learning framework using an adversarial auxiliary loss to improve robustness.
Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.
39 stars
4 watching
15 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list
cnncomputer-visionembeddings
Related projects:
Repository | Description | Stars |
---|---|---|
| A Python library providing efficient implementations of various supervised and weakly-supervised metric learning algorithms. | 1,402 |
| Provides implementations of various supervised machine learning evaluation metrics in multiple programming languages. | 1,632 |
| Enables deployment of machine learning pipelines from Spark and Scikit-Learn to production | 1,506 |
| A PyTorch-based framework for training and validating models that produce high-quality embeddings for computer vision and other tasks. | 897 |
| A Python library for implementing and training various neural network architectures | 40 |
| An open-source framework for adapting representation models to various tasks and industries | 1,743 |
| A Python package providing metrics and tools for evaluating image segmentation models | 282 |
| An implementation of a deep learning-based image segmentation algorithm in Chainer | 74 |
| Measures the performance of deep learning models in various deployment scenarios. | 1,256 |
| Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,196 |
| A Python-based framework for automating the process of finding and training the best-performing machine learning model for regression and classification tasks on numerical data. | 176 |
| Automates machine learning model creation and optimization for complex datasets | 1,857 |
| This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another. | 851 |
| A curated list of large machine learning models tracked over time | 341 |
| An implementation of Manning Publications' How Machine Learning Works book in Python using Jupyter Notebook | 4 |