train networks using various loss function with PyTorch(v0.4.0).
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Updated
Jul 17, 2018 - Python
train networks using various loss function with PyTorch(v0.4.0).
Joint Optimization of Embeddings
Image and Video Re-ID Framework
This repository contains pipelines for metric_learning, nlp, multiclass and multilabel classification based on framework Catalyst
Scrapes and parses online recipes into a useable format
Metric learning algorithms in Python
📄 Official implementation regarding the paper "Evaluating Artificial Images Through Score-based Classifications".
Implementación de redes siamesas para el separamiento y caracterización de clases en el dataset TLP
【NCA】Learning Metric Space with Distillation for Large-Scale Multi-Label Text Classification
Metric Learning with TF-2.0.0
Contrastive representation learning with PyTorch
Deep Metric Learning using SSL and Graphs
Noninvasive technologies to detect, identify and monitor bears, facilitating their conservation.
distance metric learning, tf2 implementation
WEHD - Weighted Euclidean-Hamming Distance for Heterogeneous Feature Vectors
Code for paper the "Distance-Ratio-Based Formulation for Metric Learning"
Implementation of RepMet
Classification and one-shot learning tasks using a multi-dimensional embedding space created with a Siamese Neural Network trained with triplet loss function
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