Elias Ramzi's starred repositories
clip-retrieval
Easily compute clip embeddings and build a clip retrieval system with them
awesome-cbir-papers
📝Awesome and classical image retrieval papers
mixture-of-experts
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
awesome-metric-learning
😎 A curated list of awesome practical Metric Learning and its applications
ProtoPNet
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
Faster-R-CNN-with-model-pretrained-on-Visual-Genome
Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101
Unsupervised_Embedding_Learning
Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
pytorch-graphsage
Representation learning on large graphs using stochastic graph convolutions.
BYOL-PyTorch
PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
SimSiam-91.9-top1-acc-on-CIFAR10
Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.
Deformable-ProtoPNet
The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes".
Imbalanced-SSL
Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
byol-convert
Code and model definition for converting the official BYOL weights to PyTorch
variational-autoencoders-for-collaborative-filtering-pytorch
Implementation of variational autoencoders for collaborative filtering in PyTorch
this-does-not-look-like-that
Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks"
Probabilistic_Deep_Metric_Learning
This repository contains the code for our ECCV 2022 paper on our "Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning".
benchmark_resnet_classif
Benchopt benchmark for ResNet fitting on a classification task