elias-ramzi

detr

End-to-End Object Detection with Transformers

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

plotext

plotting on terminal

awesome-cbir-papers

📝Awesome and classical image retrieval papers

fastmoe

A fast MoE impl for PyTorch

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

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

Adan

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

vmoe

awesome-metric-learning

😎 A curated list of awesome practical Metric Learning and its applications

IGMC

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

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

XAI

Papers and code of Explainable AI esp. w.r.t. Image classificiation

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

insclr

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.

variational-autoencoders-for-collaborative-filtering-pytorch

Implementation of variational autoencoders for collaborative filtering in PyTorch

HIST

Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning [CVPR'22]

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"

HyP2-Loss

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