185 Open source projects that are alternatives of or similar to GeDML

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

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

official implemntation for "Contrastive Learning with Stronger Augmentations"

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

List of Publications in Graph Contrastive Learning

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

PyTorch implementation of the InfoNCE loss for self-supervised learning.

Official PyTorch implementation of Contrastive Learning of Musical Representations

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

A curated list of awesome graph & self-supervised-learning-based recommendation.

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

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

(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Learning Tree structures and Tree metrics

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

Code and resources on scalable and efficient Graph Neural Networks

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Implementation of Barlow Twins paper

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

supervised and semi-supervised image classification with self-supervision (Keras)

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

awesome few shot / meta learning papers

Code for Supervised Word Mover's Distance (SWMD)

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

Neural Relation Understanding: neural cardinality estimators for tabular data

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"

Awesome Graph Self-Supervised Learning

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

Parametric Contrastive Learning (ICCV2021)

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

Improving MMD-GAN training with repulsive loss function

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Awesome Few-shot learning

Exploring Simple Siamese Representation Learning

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

A document covering machine learning basics. 🤖📊

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".