elias-ramzi

ROADMAP

This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.

HAPPIER

This repo contains the official implementation of HAPPIER: Hierarchical Average Precision Training for Pertinent Image Retrieval (ECCV'22).

RerankingTransformer

[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers

barlowtwins

PyTorch implementation of Barlow Twins.

blog

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

BYOL-PyTorch-1

PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP

cedric-dl

CLCD

This repository is the official PyTorch implementation of Dynamic Metric Learning with Cross-Level Concept Distillation.

deep-image-retrieval

End-to-end learning of deep visual representations for image retrieval

Deformable-ProtoPNet

The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes".

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dino-vit-features

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

elias-ramzi.github.io

My personal page

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

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

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).

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

RecallatK_surrogate

The code is coming out soon!

ReSSL

ReSSL: Relational Self-Supervised Learning with Weak Augmentation

revisitop

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

secret_santa

This is a short repo to organize a secret santa.

siamese-triplet

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

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

SimSiam-91.9-top1-acc-on-CIFAR10

Pytorch implementation of the paper Exploring Simple Siamese Representation Learning.

sota_gnn

Re-implementation of GNN state of the arts models

STML-CVPR22

Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

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"

variational-autoencoders-for-collaborative-filtering-pytorch

Implementation of variational autoencoders for collaborative filtering in PyTorch