#

few-shot-learning

Here are 642 public repositories matching this topic...

personx000 / prototypical-networks-tensorflow

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

few-shot-learning

Updated Feb 9, 2018
Jupyter Notebook

vishwapatill / Vehicle_recommendation_bot

Vehicle recommendation using promt engineering with gemini api which using zero and few short learning

css html api gemini ja few-shot-learning prompt-engineering

Updated Aug 11, 2024
HTML

jiashenggu / MEVAE

Few-shot image classification based on CADA-VAE, using cosine similarity to align two modal features.

few-shot-learning

Updated Aug 31, 2021
Python

protagolabs / COVID-Q

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

nlp text-classification svm questions question-answering sentence-classification svm-model bert triplet-loss knn-classification few-shot-learning bert-embeddings covid-19

Updated Feb 17, 2022
Python

fbono97 / few-shot-covid19-seg

Few-shot learning project: Semantic segmentation of COVID-19 infection in CT scans

deep-learning medical-imaging lung-segmentation medical-image-analysis medical-image-segmentation few-shot-learning few-shot-segmentation covid-19

Updated May 26, 2023
Jupyter Notebook

aiml-au / objectcount

Object Count: Count Anything

object-segmentation few-shot-learning

Updated Oct 16, 2024

petrtsv / few_shot_learning_study

computer-vision deep-learning neural-networks image-classification image-recognition few-shot few-shot-learning

Updated Dec 28, 2020
Jupyter Notebook

at-akshat-2107 / LJMU-Thesis-Results-Akshat-Mehta-1129239

This repository contains results from my MSc. thesis on "Test Case Generation from User Stories using Generative AI Techniques with LLM Models." Each folder includes generated test cases in PDF, detailed metrics scores of data in Excel sheets, and visual graphs, offering a comprehensive view of the experiments in images folder and their outcomes.

python3 zero-shot zero-shot-learning few-shot explainable-ai testcase-generator few-shot-learning chain-of-thought few-shot-prompting genai tree-of-thoughts chain-of-thought-reasoning testgpt chain-of-thought-prompting story2testgpt

Updated Sep 9, 2024
Jupyter Notebook

HR-Fahim / Transformer-Model-Optimization

Hardware Accelerated Transformer Model Optimization with C/C++.

cuda few-shot-learning transfomers

Updated Nov 18, 2024
Jupyter Notebook

mostafa-zaghloul / face-recognition-sys

Face Recognition System (multiple faces - recognition from images/live camera )

python tensorflow tkinter face-recognition few-shot-learning

Updated Sep 10, 2019
Python

arthurdouillard / tensorflow-lowshot

Lowshot learning with Tensorflow

computer-vision deep-learning tensorflow few-shot-learning lowshot

Updated Aug 31, 2018
Python

lucasdavid / afhp

Adversarial Feature Hallucination in a Supervised Contrastive Space for Few-Shot Learning of Provenance in Paintings

machine-learning adversarial-learning few-shot-learning

Updated Mar 1, 2024
Jupyter Notebook

fatemafaria142 / Bengali-Political-Sentiment-Analysis

This study focuses on political sentiment analysis during Bangladeshi elections, using the "Motamot" dataset to evaluate how Pre-trained Language Models (PLMs) and Large Language Models (LLMs) capture complex sentiment characteristics. The research explores the effectiveness of various models and learning strategies in understanding public opinion.

sentiment-classification few-shot-learning pretrained-language-models large-language-models political-sentiment-analysis bangladeshi-elections motamot-dataset election-trends

Updated Aug 10, 2024
Jupyter Notebook

franticpie / simple-cnaps

Code for "Improved Few-Shot Visual Classification"

meta-learning few-shot-learning few-shot-recognition few-shot-classifcation

Updated May 4, 2021
Python

joefavergel / llm-information-extraction

Notes about information extraction with Large Language Models (LLMs)

information-extraction structured-data few-shot-learning large-language-models retrieval-augmented-generation

Updated Feb 5, 2024
Jupyter Notebook

ritvic / Few-Shot-Learning-using-Prototypical-Network

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

python meta-learning few-shot-learning prototypical-network

Updated Dec 18, 2022
Jupyter Notebook

yiren-jian / EmbedHalluc

[NAACL 2022] Embedding Hallucination for Few-shot Language Learning

language-model conditional-gan few-shot-learning

Updated Jun 4, 2024
Python

villawang / Todo-list

This is my todo list and some useful materials

deep-learning gesture-recognition video-action-recognition few-shot-learning

Updated Aug 7, 2021

kramalab-iith / GraphsFewShot

Few Shot Learning on Graphs

machine-learning few-shot-learning graph-neural-networks iclr2020 graph-spectral

Updated Jun 14, 2020
Python

ankitdipto / cv-for-retail

A unified deeplearning approach for recognising products in retail environments

computer-vision deep-learning image-retrieval triplet-loss fine-grained-classification few-shot-learning

Updated Dec 20, 2021
Jupyter Notebook

Improve this page

Add a description, image, and links to the few-shot-learning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the few-shot-learning topic, visit your repo's landing page and select "manage topics."