elias-ramzi Goto Github PK

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.

cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

cog

ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.

confidnet

Implementation of this paper https://arxiv.org/abs/1910.04851 for the MNIST dataset

deep-image-retrieval

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

deep-learning-utils

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".

dynamicmetriclearning

elias-ramzi.github.io

My personal page

generative-scattering-networks

happier

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

ismir2018

local_computer_setup

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

msf

Official code for "Mean Shift for Self-Supervised Learning"

openood

Benchmarking Generalized Out-of-Distribution Detection

powerful-benchmarker

A PyTorch library for benchmarking deep metric learning. It's powerful.

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).

proxynca_pp

The implementation of ProxyNCA++.

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!

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

ranking-metrics-torch

Simple ranking metrics for PyTorch on CPU or GPU