bier
by mop
Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.
AI summary
Metric learner
This project implements a deep metric learning framework using an adversarial auxiliary loss to improve robustness.
- stars
- 39
- forks
- 15
- watching
- 4
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Metric Learning Library
A Python library providing efficient implementations of various supervised and weakly-supervised metric learning algorithms.
Evaluation metrics library
Provides implementations of various supervised machine learning evaluation metrics in multiple programming languages.
combust/mleap1.5K
ML pipeline deployer
Enables deployment of machine learning pipelines from Spark and Scikit-Learn to production
Metric learning framework
A PyTorch-based framework for training and validating models that produce high-quality embeddings for computer vision and other tasks.
Neural Network Library
A Python library for implementing and training various neural network architectures
deepset-ai/farm1.7K
Model adapter
An open-source framework for adapting representation models to various tasks and industries
Image Segmentation Metrics Library
A Python package providing metrics and tools for evaluating image segmentation models
Image segmentation framework
An implementation of a deep learning-based image segmentation algorithm in Chainer
Model benchmarking suite
Measures the performance of deep learning models in various deployment scenarios.
Deep learning trainer
Provides a flexible and configurable framework for training deep learning models with PyTorch.
Model finder
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.
Model builder
Automates machine learning model creation and optimization for complex datasets
Domain adaptation model
This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another.
Model catalog
A curated list of large machine learning models tracked over time
Machine Learning Book Implementation
An implementation of Manning Publications' How Machine Learning Works book in Python using Jupyter Notebook
Featured in 1 awesome list
Each link jumps to the spot where the list mentions bier.
