205 Open source projects that are alternatives of or similar to simple-cnaps

Awesome Few-shot learning

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

awesome few shot / meta learning papers

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

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

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

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

LibFewShot: A Comprehensive Library for Few-shot Learning.

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

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

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

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

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

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

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

Finetuning any DNN for better embedding on neural search tasks

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

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)

TensorFlow 2.0 implementation of MAML.

Open source person re-identification library in python

The first fully convolutional metric learning for geometric/semantic image correspondences.

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

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

SegSort: Segmentation by Discriminative Sorting of Segments

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

This is the implementation of paper <Additive Margin Softmax for Face Verification>

Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)

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

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

Code for FOCAL Paper Published at ICLR 2021

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

Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"

PyTorch Implementation for Deep Metric Learning Pipelines

Metric learning algorithms in Python

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

https://www.kaggle.com/c/humpback-whale-identification

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

A simple yet effective loss function for face verification.

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

A comprehensive survey of deep metric learning and related works

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

In defence of metric learning for speaker recognition

Implementation of the Convolutional Conditional Neural Process

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

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

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

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

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

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

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

Accelerated deep learning R&D

Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.