elias-ramzi

pytorch-metric-learning

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

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

swav

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

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

allRank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

torchsort

Fast, differentiable sorting and ranking in PyTorch

inat_comp

iNaturalist competition details

Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

Stylized-ImageNet

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

powerful-benchmarker

A library for ML benchmarking. It's powerful.

blackbox-backprop

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

SiT

Self-supervised vIsion Transformer (SiT)

research-xbm

XBM: Cross-Batch Memory for Embedding Learning

GRaNDPapA

Generator of Rad Names from Decent Paper Acronyms

semantic-embeddings

Hierarchy-based Image Embeddings for Semantic Image Retrieval

Smooth_AP

code for the ECCV '20 paper "Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval"

dml_cross_entropy

Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)

aLRPLoss

Official PyTorch Implementation of aLRP Loss [NeurIPS2020]

classification_metric_learning

FastAP-metric-learning

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

making-better-mistakes

RecallatK_surrogate

Code for Recall@k Surrogate Loss with Large Batches and Similarity Mixup, CVPR 2022.

proxynca_pp

The implementation of ProxyNCA++.

DynamicMetricLearning

multilabel-deep-metric

Adapted Triplet loss based metric learning to learn a metric for multilabel points, such that samples with maximum overlap in label sets are close.

fullbatchtraining

Training vision models with full-batch gradient descent and regularization

PLDepth

Code for "Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model" as published at CVPR 2021.