Popular GitHub Repositories for Triplet Loss

Siamese and triplet networks with online pair/triplet mining in PyTorch

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Implementation of triplet loss in TensorFlow

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)

A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.

Deep Learning - one shot learning for speaker recognition using Filter Banks

A PyTorch-based toolkit for natural language processing

Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"

Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]

All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers

MassFace: an effecient implementation using triplet loss for face recognition

Who is your doppelg?nger and more with Keras face recognition

Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset

Realtime face detection and recognition on video streams. Uses Inception-ResNet-v1 as Encoder, trained using Triplet Loss.

Resolving semantic confusions for improved zero-shot detection (BMVC 2022)

Neural network for creating distortion while keeping embeddings as close as possible

Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for a variety of downstream tasks

Metric Learning TF 2.0+Keras Algorithm Implementations for Facial Recognition