pumpikano / tf-magnet-loss
Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"
☆95Updated 7 years ago
Alternatives and similar repositories for tf-magnet-loss:
Users that are interested in tf-magnet-loss are comparing it to the libraries listed below
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆219Updated last year
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 5 years ago
- The inception-resnet-v2 models re-trained from scratch via torch☆52Updated 6 years ago
- A loss function based on the distances between anchor, positive and negative embeddings used in FaceNet☆21Updated 8 years ago
- ☆69Updated 8 years ago
- Reference caffe implementation of LSUV initialization☆113Updated 7 years ago
- This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)☆96Updated 7 years ago
- Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization☆62Updated 6 years ago
- Training code to reproduce FaceNet☆22Updated 9 years ago
- Structured Receptive Fields in Convolutional Neural Networks☆47Updated 7 years ago
- visualizing what ConvNets learn with camera☆89Updated 9 years ago
- Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).☆131Updated 7 years ago
- This a an impletation of Deep Metric Learning via Facility Location on tensorflow☆35Updated 7 years ago
- SE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.☆47Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks☆120Updated 7 years ago
- ☆138Updated 8 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 6 years ago
- Codes and models for the CVPR 2017 spotlight paper "Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint …☆78Updated 6 years ago
- Dynamic Capacity Networks using Tensorflow☆52Updated 8 years ago
- Draw your net☆48Updated 7 years ago
- Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'☆115Updated 7 years ago
- This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks…☆127Updated 9 years ago
- torch data augmentation toolbox (supports affine transform)☆54Updated 7 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CV…☆152Updated 7 years ago
- Lasagne code for weight normalization☆88Updated 9 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 7 years ago
- Chainer implementation of Wasserstein GAN☆95Updated 7 years ago