Awesome Open Source

Programming Languages

Search results for python few shot learning

few-shot-learning x

218 search results found

Cdfsl Ata ⭐ 35

[IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

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)

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

Memopainter Pytorch ⭐ 33

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

Unicorn Maml ⭐ 32

PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"

Universalrepresentations ⭐ 31

Universal Representations: A Unified Look at Multiple Task and Domain Learning

Adept Augmentations ⭐ 31

A Python library aimed at dissecting and augmenting NER training data.

Large_vlm_distillation_ood ⭐ 29

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)

Cvpr2022 Task Discrepancy Maximization For Fine Grained Few Shot Classification ⭐ 28

Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)

Few Shot Segmentation ⭐ 27

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

Prompt Tuning ⭐ 26

A pipeline for Prompt-tuning

Lite Self-Training

a deep recurrent model for exchangeable data

[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning

Zero Shot Fact Verification ⭐ 26

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

This is the official repo for Dynamic Extension Nets for Few-shot Semantic Segmentation (ACM Multimedia 20).

Miningfss ⭐ 25

[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

Flexkbqa ⭐ 25

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)

Efficient Fsod ⭐ 23

The official implementation of Efficient Few-Shot Object Detection via Knowledge Inheritance (TIP 2022)

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

Understanding Cdfsl ⭐ 23

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

[ICCV19&TNNLS23] Few-Shot Image Recognition with Knowledge Transfer

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

Code for NAACL2022 Long Paper "An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling"

MTUNet: Few-shot Image Classification with Visual Explanations

Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2020).

Sinkhorn Label Allocation ⭐ 20

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms.

Prototypical Networks Tf ⭐ 20

Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0

Few-shot Learning with Auxiliary Data

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

Ieee_tnnls_gia Cfsl ⭐ 19

Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.

(CVPR2023) The PyTorch implementation of the "AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection".

Multimodal Meta Learn ⭐ 19

Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning" (published at ICLR 2023).

This repository is the code of paper "Multi-scale Adaptive Task Attention Network for Few-Shot Learning (ICPR-2022)".

Globalfsl2019 ⭐ 18

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

Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification

Code and data for paper https://arxiv.org/pdf/2106.05517.pdf (CVPR 2022)

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

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

Few_shot_dialogue_generation ⭐ 16

Dialogue Knowledge Transfer Networks (DiKTNet)

COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"

NeurIPS 2021 - Few-shot learning competition

Protonet Bert Text Classification ⭐ 16

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

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

Few_shot_slot_tagging_and_ner ⭐ 15

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.

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

Signal Level Deep Metric Learning for One-Shot Action Recognition

Dynamic Cdfsl ⭐ 15

Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".

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

Dropgrad ⭐ 14

Regularizing Meta-Learning via Gradient Dropout

Lowshot Shapebias ⭐ 13

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

Fewshotqat ⭐ 13

[BMVC 2021]: Official PyTorch implementation of : "Few Shot Temporal Action Localization using Query Adaptive Transformers"

Cross Transformers Pytorch ⭐ 13

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

Labelhalluc ⭐ 13

[AAAI 2022] Label Hallucination for Few-Shot Classification

Lm Supcon ⭐ 13

[NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners

Realistic_transductive_few_shot ⭐ 13

(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

Orbit 2022 Winner Method ⭐ 13

Few-Shot Video Object Recognition with Embedding Adaptation and Uniform Clip Sampling: Winner of ORBIT Few-Shot Object Recognition Challenge 2022

Metric Few Shot Graph ⭐ 13

Few-Shot Graph Classification via distance metric learning.

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach

Few_shot_sam ⭐ 12

FEWSAM Few-shot Segmentation tool based on Segment Anything

CSS-LM: Contrastive Semi-supervised Fine-tuning of Pre-trained Language Models

Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion

Tip_2022_cmfsl ⭐ 10

Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification, TIP, 2022

Prototypical Networks Few Shot Learning ⭐ 10

Pytorch implementation of prototypical networks in few shot learning

Prompt Adapter ⭐ 10

Prompt Tuning based Adapter for Vision-Language Model Adaption

Behind The Scenes ⭐ 10

Code and data for CIKM-2021 paper《Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification》

Few Shot Learning For Fault Diagnosis ⭐ 10

This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.

Pytorch source code of ESPT method in AAAI 2023

Hcn Prototypeloss Pytorch ⭐ 10

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

Tgg Pytorch ⭐ 10

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

Geoformer ⭐ 10

Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)

Contextual Squeeze And Excitation ⭐ 10

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

Timehetnet ⭐ 10

Learning complex time series forecasting models usually requires a large amount of data, as each model is trained from scratch for each task/data set. Leveraging learning experience with similar datasets is a well-established technique for classification problems called few-shot classification. However, existing approaches cannot be applied to time-series forecasting because i) multivariate time-series datasets have different channels and ii) forecasting is principally different from classificat

Transfer Learning in Dialogue Benchmarking Toolkit

[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition

Bsfa Fsfg ⭐ 9

[TCSVT23] Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

Meta Omnium ⭐ 9

Implementation of "Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn"

Alreadyme Ai Research ⭐ 9

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

Meta Transformer Amc ⭐ 8

Meta-Transformer: A meta-learning framework for scalable automatic modulation classification

Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning

Code for "From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning" in TPAMI 2023.

Deep Outlier Detection ⭐ 8

Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection

Stc Maml Pytorch ⭐ 7

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

Cd Metadl ⭐ 7

NeurIPS 2022 - Cross-domain meta-learning competition

Matching Networks Tf ⭐ 7

Implementation of Matching Networks for One Shot Learning in TensorFlow 2.0

Transfer Sgc ⭐ 7

Code for "Exploiting Unsupervised Inputs for Accurate Few-Shot Classification"

Patchcore Few Shot ⭐ 7

Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"

Few Shot Fault Diagnosis ⭐ 7

A few shot learning repository for bearing fault diagnosis.

Acl2023 Micse ⭐ 7

Source code for ACL 2023 paper "miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings".

Chatgpt Turbocli ⭐ 7

Supports inputting data via files, features summarization of larger inputs, multi-line input, token usage stats. The program is flexible when initiating new chats and supports various named personas and preloading history in yaml files. Easily store jailbreak personas and stories.

Counting Detr ⭐ 6

Few-shot Object Counting and Detection (ECCV 2022)

Mlrc 2021 Few Shot Learning And Self Supervision ⭐ 6

Does Self-supervision Always Improve Few-shot Learning? - A Reproducibility Report of "When Does Self-supervision Improve Few-shot Learning?" (ECCV 2020)

Multi_task_neural_processes ⭐ 6

[ICLR'22] Multi-Task Neural Processes

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

Subspace Reg ⭐ 6

Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification

Related Searches

Python Dataset (14,792)

Python Machine Learning (14,099)

Python Tensorflow (13,736)

Python Deep Learning (13,092)

Python Jupyter Notebook (12,976)

Python Algorithms (10,033)

Python Natural Language Processing (9,064)

Python Pytorch (7,877)

Python Keras (6,821)

Python Paper (6,544)

101-200 of 218 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.