203 Open source projects that are alternatives of or similar to LearningToCompare-Tensorflow

awesome few shot / meta learning papers

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Awesome Few-shot learning

Finetuning any DNN for better embedding on neural search tasks

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Official repository of https://arxiv.org/abs/2111.04040v1

FSL-Mate: A collection of resources for few-shot learning (FSL).

Learning To Compare For Text , Few shot learning in text classification

LibFewShot: A Comprehensive Library for Few-shot Learning.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

Learning Tree structures and Tree metrics

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Code for Supervised Word Mover's Distance (SWMD)

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Official implementation of Meta-StyleSpeech and StyleSpeech

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

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

a deep recurrent model for exchangeable data

Generalized Deep Metric Learning.

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

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

Python Meta-Feature Extractor package.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Dialogue Knowledge Transfer Networks (DiKTNet)

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

Implementation for <Neural Similarity Learning> in NeurIPS'19.

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

Code for FOCAL Paper Published at ICLR 2021

Papers and Codes about Deep Metric Learning/Deep Embedding

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

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

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

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

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

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

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

One-Shot Learning with Triplet CNNs in Pytorch

TensorFlow 2.0 implementation of MAML.

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

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

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

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