115 Open source projects that are alternatives of or similar to one-shot-steel-surfaces

Dragon Armor 3D-printable CAD files (Autodesk Fusion 360)

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One-shot learning for image classification using Siamese neural networks

One-Shot Object Appearance Learning using Spiking Neural Networks

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Siamese and triplet networks with online pair/triplet mining in PyTorch

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

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

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[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

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FewCLUE 小样本学习测评基准，中文版

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

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An unofficial implementation of MemoPainter(Coloring With Limited Data: Few-shot Colorization via Memory Augmented Networks) using PyTorch framework.

OpenMMLab FewShot Learning Toolbox and Benchmark

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

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

A novel method for few shot learning

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

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

Learning low-shot object classification with explicit shape bias learned from point clouds

(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

A curated list of papers, code and resources pertaining to few-shot image generation.

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Matching Networks for one-shot learning in tensorflow (NIPS'16)

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

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

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

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

a deep recurrent model for exchangeable data

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

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

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

Laplacian Regularized Few Shot Learning

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients