roytalman

Deep_contrastive_embedding

Deep supervised conistrastive learning for small datasets (few shot learning). This repository takes labeled embedding data ,that could be extracted from pre-trained NLP, vision, or any other algorithm that extract embedding, and use deep FFN to learn new embedding that is fine-tuned for the current data. Th algorithm can improve classification per

expirament

LSTM-FCN-Pytorch

Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"

models

Models and examples built with TensorFlow

Spectral_HRV

Calculate frequency domain Heart rate variability for matlab

TripletLoss

CNN Triplet Loss function implementation for matlab

jTrans

Official code of jTrans: Jump-Aware Transformer for Binary Code Similarity Detection

roytalman/LSTM-FCN-Pytorch

Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"

roytalman/Deep_contrastive_embedding

Deep supervised conistrastive learning for small datasets (few shot learning). This repository takes labeled embedding data ,that could be extracted from pre-trained NLP, vision, or any other algorithm that extract embedding, and use deep FFN to learn new embedding that is fine-tuned for the current data. Th algorithm can improve classification per

roytalman/TripletLoss

CNN Triplet Loss function implementation for matlab

roytalman/Spectral_HRV

Calculate frequency domain Heart rate variability for matlab

roytalman/expirament

roytalman/models

Models and examples built with TensorFlow