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Search results for pytorch few shot learning

few-shot-learning x

75 search results found

Pytorch Meta ⭐ 1,724

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Medmnist ⭐ 903

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Learningtocompare_fsl ⭐ 891

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

Libfewshot ⭐ 771

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

Easy Few Shot Learning ⭐ 737

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Few Shot Meta Baseline ⭐ 584

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

Mmfewshot ⭐ 542

OpenMMLab FewShot Learning Toolbox and Benchmark

Few Shot ⭐ 520

Repository for few-shot learning machine learning projects

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊

Prototypical Network Pytorch ⭐ 294

A re-implementation of "Prototypical Networks for Few-shot Learning"

Zero and Few shot named entity & relationships recognition

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

Learningtocompare_zsl ⭐ 218

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

Metric Learning Divide And Conquer ⭐ 213

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

Cada Vae Pytorch ⭐ 208

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

Knowprompt ⭐ 166

Code and datasets for the WWW2022 paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction."

Meta Tts ⭐ 151

Official repository of https://doi.org/10.1109/TASLP.2022.3167258. More up-to-date code is in "refactor" branch.

Dynamic Conditional Networks.pytorch ⭐ 145

🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥

Deep Kernel Transfer ⭐ 142

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Snca.pytorch ⭐ 136

Improving Generalization via Scalable Neighborhood Component Analysis

Black Box Tuning ⭐ 133

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models

[CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning for Classification and Segmentation

Scaling Laws Openclip ⭐ 112

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

Vq Font ⭐ 107

[ICCV 2023] Few shot font generation via transferring similarity guided global and quantization local styles

Few Shot Text Classification ⭐ 99

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Meta Learning Lstm Pytorch ⭐ 92

pytorch implementation of Optimization as a Model for Few-shot Learning

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

[ICLR'19] Meta-learning with differentiable closed-form solvers

Code for the ICLR2022 paper "Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners"

Gnn_few_shot_cifar100 ⭐ 68

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

Knowledge_evolution ⭐ 67

(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets

Pytorch implementation of Meta-Learned Confidence for Few-shot Learning

Bongard Hoi ⭐ 55

[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning

Few Shot ⭐ 54

A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.

Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models

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

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

Pytorch Meta Dataset ⭐ 40

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

Fewshotviewpoint ⭐ 38

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

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

Learning To Compare For Text ⭐ 34

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

Covamnet ⭐ 34

The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.

Invariance Equivariance ⭐ 33

"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)

Memopainter Pytorch ⭐ 33

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

Awesome Few Shot Meta Learning ⭐ 27

awesome few shot / meta learning papers

Few Shot Segmentation ⭐ 27

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

Lite Self-Training

Understanding Cdfsl ⭐ 23

(NeurIPS 2022) Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty

Source code for the "GRASP: Guiding model with RelAtional Semantics using Prompt"

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

Globalfsl2019 ⭐ 18

Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)

A collection of Gradient-Based Meta-Learning Algorithms with pytorch

[ECCV2022] PyTorch re-implementation of Self-Supervision Can Be a Good Few-Shot Learner

Few_shot_dialogue_generation ⭐ 16

Dialogue Knowledge Transfer Networks (DiKTNet)

Fsad Net ⭐ 15

Offical code for 'Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy' [MICCAI 2020]

One Shot Steel Surfaces ⭐ 15

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)

Cross Transformers Pytorch ⭐ 13

Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch

Lowshot Shapebias ⭐ 13

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

Few_shot_sam ⭐ 12

FEWSAM Few-shot Segmentation tool based on Segment Anything

Large Scale Pretraining Transfer ⭐ 11

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)

Tgg Pytorch ⭐ 10

The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".

Contextual Squeeze And Excitation ⭐ 10

Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)

Hcn Prototypeloss Pytorch ⭐ 10

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

Alreadyme Ai Research ⭐ 9

Generate README.md with GPT-3 few-shot learning

Stc Maml Pytorch ⭐ 7

A PyTorch implementation of our INTERSPEECH2020 paper 'An inverstigation of few-shot learning in spoken term classification.'

Funit_tensorflow ⭐ 6

Tensorflow Implementation of FUNIT: Few-Shot Unsupervised Image-to-Image Translation

Alreadyme Ai Serving ⭐ 6

Serving large language model with transformers

[CVPR2023] Practical Network Acceleration with Tiny Sets

Code for the AAAI 2021 paper "Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition".

Visual Contrastive Learning For Few Shot Image Classification ⭐ 6

Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch

Lgm Net Pytorch ⭐ 5

A pytorch implementation of LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning(ICML 2019)

Interactive Skeleton Based Few Shot Action Recognition

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