Projects in Awesome Lists tagged with few-shot-learning

https://github.com/jindongwang/transferlearning

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

deep-learning domain-adaptation domain-adaption domain-generalization few-shot few-shot-learning generalization machine-learning meta-learning paper papers representation-learning self-supervised-learning style-transfer survey theory transfer-learning transferlearning tutorial-code unsupervised-learning

Last synced: 28 Oct 2024

https://github.com/dsxiangli/decryptprompt

总结Prompt&LLM论文，开源数据&模型，AIGC应用

aigc chain-of-thought chatgpt demonstration few-shot-learning in-context-learning instruction-tuning llm llm-agent papers prompt prompt-engineering prompt-tuning zero-shot-learning

Last synced: 18 Dec 2024

https://github.com/DSXiangLi/DecryptPrompt

总结Prompt&LLM论文，开源数据&模型，AIGC应用

aigc chain-of-thought chatgpt demonstration few-shot-learning in-context-learning instruction-tuning llm llm-agent papers prompt prompt-engineering prompt-tuning zero-shot-learning

Last synced: 13 Nov 2024

https://github.com/floodsung/meta-learning-papers

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

deep-learning few-shot-learning learning-to-learn meta-learning one-shot-learning

Last synced: 01 Dec 2024

https://github.com/floodsung/Meta-Learning-Papers

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

deep-learning few-shot-learning learning-to-learn meta-learning one-shot-learning

Last synced: 26 Oct 2024

https://github.com/huggingface/setfit

Efficient few-shot learning with Sentence Transformers

few-shot-learning nlp sentence-transformers

Last synced: 17 Dec 2024

https://github.com/tristandeleu/pytorch-meta

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

few-shot-learning meta-learning pytorch

Last synced: 19 Dec 2024

https://github.com/tata1661/fsl-mate

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

deep-learning few-shot few-shot-learning few-shot-paper few-shot-papers low-shot meta-learning one-shot-learning paddlepaddle paper papers

Last synced: 17 Dec 2024

https://github.com/tata1661/FSL-Mate

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

deep-learning few-shot few-shot-learning few-shot-paper few-shot-papers low-shot meta-learning one-shot-learning paddlepaddle paper papers

Last synced: 15 Nov 2024

https://github.com/jina-ai/finetuner

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

bert few-shot-learning fine-tuning finetuning jina metric-learning negative-sampling neural-search openai-clip pretrained-models siamese-network similarity-learning transfer-learning triplet-loss

Last synced: 30 Sep 2024

https://github.com/hendrycks/test

Measuring Massive Multitask Language Understanding | ICLR 2021

few-shot-learning gpt-3 muti-task transfer-learning

Last synced: 16 Dec 2024

https://github.com/oscarknagg/few-shot

Repository for few-shot learning machine learning projects

few-shot-learning machine-learning maml meta-learning miniimagenet omniglot pytorch research

Last synced: 17 Dec 2024

https://github.com/sudharsan13296/hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

deep-meta-learning few-shot-learning keras maml mann matching-networks meta-imitation-learning meta-sgd metalearning ntm one-shot-learning prototypical-network prototypical-networks reinforcement-learning relation-network reptile shot-learning siamese-network tensorflow zero-shot-learning

Last synced: 15 Dec 2024

https://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

deep-meta-learning few-shot-learning keras maml mann matching-networks meta-imitation-learning meta-sgd metalearning ntm one-shot-learning prototypical-network prototypical-networks reinforcement-learning relation-network reptile shot-learning siamese-network tensorflow zero-shot-learning

Last synced: 13 Nov 2024

https://github.com/sicara/easy-few-shot-learning

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

deep-learning few-shot-classifcation few-shot-learning few-shot-recognition image-classification machine-learning meta-learning pytorch

Last synced: 18 Dec 2024

https://github.com/medmnist/medmnist

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

2d 3d automl benchmark classification dataset decathlon deep-learning federated-learning few-shot-learning machine-learning medical medical-image-analysis medical-image-computing medical-imaging medmnist mnist multi-modal pytorch

Last synced: 18 Dec 2024

https://github.com/floodsung/learningtocompare_fsl

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

few-shot-learning meta-learning

Last synced: 16 Dec 2024

https://github.com/floodsung/LearningToCompare_FSL

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

few-shot-learning meta-learning

Last synced: 26 Oct 2024

https://github.com/THUDM/P-tuning

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

few-shot-learning natural-language-processing p-tuning parameter-efficient-learning pre-trained-language-models prompt-tuning

Last synced: 19 Dec 2024

https://github.com/thudm/p-tuning

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

few-shot-learning natural-language-processing p-tuning parameter-efficient-learning pre-trained-language-models prompt-tuning

Last synced: 18 Dec 2024

https://github.com/RL-VIG/LibFewShot

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

few-shot-learning fine-tuning image-classification meta-learning pytorch

Last synced: 15 Nov 2024

https://github.com/google-research/meta-dataset

A dataset of datasets for learning to learn from few examples

benchmark few-shot-learning machine-learning maml meta-learning tensorflow

Last synced: 15 Dec 2024

https://github.com/yaoyao-liu/meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

few-shot-learning fewshot-cifar100 meta-learning mini-imagenet tiered-imagenet transfer-learning

Last synced: 26 Oct 2024

https://github.com/princeton-nlp/lm-bff

[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

few-shot-learning language-models lm-bff

Last synced: 21 Dec 2024

https://github.com/thunlp/FewRel

A Large-Scale Few-Shot Relation Extraction Dataset

few-shot-learning natural-language-processing relation-extraction

Last synced: 14 Nov 2024

https://github.com/thunlp/fewrel

A Large-Scale Few-Shot Relation Extraction Dataset

few-shot-learning natural-language-processing relation-extraction

Last synced: 18 Dec 2024

https://github.com/princeton-nlp/LM-BFF

[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

few-shot-learning language-models lm-bff

Last synced: 06 Nov 2024

https://github.com/open-mmlab/mmfewshot

OpenMMLab FewShot Learning Toolbox and Benchmark

few-shot-learning openmmlab pytorch

Last synced: 15 Dec 2024

https://github.com/clue-ai/promptclue

PromptCLUE, 全中文任务支持零样本学习模型

bert chinese few-shot-learning gpt-3 multitask-learning pretrained-models prompt-tuning roberta t5-model transfer-learning zero-shot-learning

Last synced: 21 Dec 2024

https://github.com/clue-ai/PromptCLUE

PromptCLUE, 全中文任务支持零样本学习模型

bert chinese few-shot-learning gpt-3 multitask-learning pretrained-models prompt-tuning roberta t5-model transfer-learning zero-shot-learning

Last synced: 16 Nov 2024

https://github.com/yinboc/few-shot-meta-baseline

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

few-shot-learning machine-learning pytorch

Last synced: 21 Dec 2024

https://github.com/madaan/self-refine

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

chatgpt few-shot-learning gpt-35 gpt-4 language-generation large-language-models llms prompting prompts reasoning

Last synced: 09 Nov 2024

https://github.com/kjunelee/MetaOptNet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

convex-optimization cvpr2019 few-shot few-shot-learning few-shot-recognition image-classification meta-learning metalearning

Last synced: 26 Oct 2024

https://github.com/cluebenchmark/fewclue

FewCLUE 小样本学习测评基准，中文版

benchmark bert chinese clue few-shot-learning fewclue gpt3 pet ptuning

Last synced: 15 Dec 2024

https://github.com/CLUEbenchmark/FewCLUE

FewCLUE 小样本学习测评基准，中文版

benchmark bert chinese clue few-shot-learning fewclue gpt3 pet ptuning

Last synced: 06 Nov 2024

https://github.com/ShuoYang-1998/Few_Shot_Distribution_Calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

few-shot-classifcation few-shot-learning

Last synced: 30 Oct 2024

https://github.com/reasoning-machines/pal

PaL: Program-Aided Language Models (ICML 2023)

commonsense-reasoning few-shot-learning language-generation language-model large-language-models reasoning

Last synced: 29 Nov 2024

https://github.com/Sha-Lab/FEAT

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

computer-vision cvpr2020 few-shot few-shot-learning machine-learning meta-learning

Last synced: 26 Oct 2024

https://github.com/thunlp/few-nerd

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

deep-learning entity-typing few-shot-learning named-entity-recognition nlp

Last synced: 15 Dec 2024

https://github.com/thunlp/Few-NERD

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

deep-learning entity-typing few-shot-learning named-entity-recognition nlp

Last synced: 16 Nov 2024

https://github.com/ibm/zshot

Zero and Few shot named entity & relationships recognition

ai deep-learning few-shot few-shot-learning machine-learning named-entity-recognition natural-language-processing natural-language-understanding ned ner nlp nlp-library pytorch relation-extraction relationship-extraction spacy transformer zero-shot zero-shot-learning

Last synced: 21 Dec 2024

https://github.com/sudharsan13296/hands-on-deep-learning-algorithms-with-python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

adagrad autoencoder capsule-network cnn-math contractive-autonencoders cyclegan deep-learning-math deep-learning-mathematics deep-learning-scratch doc2vec few-shot-learning gans gru lstm-math nadam quick-thought rnn-derivation skip-thoughts tensorflow word-embeddings

Last synced: 16 Dec 2024

https://github.com/hytseng0509/CrossDomainFewShot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

domain-generalization few-shot-learning iclr2020 meta-learning

Last synced: 26 Oct 2024

https://github.com/explosion/prodigy-openai-recipes

✨ Bootstrap annotation with zero- & few-shot learning via OpenAI GPT-3

annotation-tool few-shot-learning gpt-3 nlp openai openai-api prodigy zero-shot-learning

Last synced: 25 Sep 2024

https://github.com/adapt-python/adapt

Awesome Domain Adaptation Python Toolbox

adversarial-learning adversarial-networks dann deep-learning domain-adaptation feature-selection few-shot-learning generalization importance-sampling machine-learning python regularization-parameters scikit-learn tensorflow transfer-learning zero-shot-learning

Last synced: 20 Dec 2024

https://github.com/yinboc/prototypical-network-pytorch

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

few-shot-learning machine-learning pytorch

Last synced: 18 Dec 2024

https://github.com/wisconsinaivision/few-shot-gan-adaptation

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

computer-vision few-shot-learning gans

Last synced: 20 Dec 2024

https://github.com/WisconsinAIVision/few-shot-gan-adaptation

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

computer-vision few-shot-learning gans

Last synced: 15 Nov 2024

https://github.com/edgarschnfld/CADA-VAE-PyTorch

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

few-shot-learning generalized-zero-shot-learning vae variational-autoencoder zero-shot-learning

Last synced: 26 Oct 2024

https://github.com/compvis/metric-learning-divide-and-conquer

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

few-shot-learning metric-learning pytorch

Last synced: 18 Dec 2024

https://github.com/lzrobots/LearningToCompare_ZSL

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

few-shot-learning zero-shot-learning

Last synced: 26 Oct 2024

https://github.com/wjn1996/hugnlp

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

code-understanding deep-learning few-shot-learning knowledge-enhancement natural-language-processing pre-trained-language-models prompt-based-learning pytorch semi-supervised-learning supervised-learning transformers

Last synced: 19 Dec 2024

https://github.com/RQ-Wu/LAMP

Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)

aigc diffusion diffusion-model diffusion-models few-shot-learning stable-diffusion text-to-video video-editing

Last synced: 31 Oct 2024

https://github.com/txsun1997/Black-Box-Tuning

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

black-box-optimization deep-learning few-shot-learning language-model natural-language-processing pytorch

Last synced: 19 Dec 2024

https://github.com/ha-lins/metalearning4nlp-papers

A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

dialogue-systems few-shot-learning low-resource meta-learning nlp papers-collection semantic-parsing

Last synced: 05 Dec 2024

https://github.com/MohamedAfham/CrossPoint

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

3d-point-clouds cross-modal-learning deep-learning few-shot-learning object-classification point-cloud self-supervised-learning transfer-learning unsupervised-learning

Last synced: 28 Oct 2024

https://github.com/few-shot-learning/Keras-FewShotLearning

Some State-of-the-Art few shot learning algorithms in tensorflow 2

deep-learning few-shot-learning keras-tensorflow one-shot-learning tensorflow tensorflow2 tf2

Last synced: 27 Oct 2024

https://github.com/shirleyzhu233/PyTorch-MAML

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

deep-learning few-shot-learning maml meta-learning

Last synced: 15 Nov 2024

https://github.com/BayesWatch/deep-kernel-transfer

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

bayesian-methods classification deep-kernel-learning deep-learning few-shot-learning gaussian-processes gpytorch kernel kernel-methods kernels meta-learning one-shot-learning paper regression shot-learning uncertainty uncertainty-quantification

Last synced: 12 Nov 2024

https://github.com/zjunlp/KnowPrompt

[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

dataset dialogre few-shot-learning knowledge-informed-prompt-learning knowprompt prompt prompt-learning prompt-tuning pytorch re relation-extraction semeval tacred text-classification

Last synced: 16 Nov 2024

https://github.com/WenbinLee/DN4

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

few-shot-learning image-to-class local-descriptors

Last synced: 26 Oct 2024

https://github.com/yizhongw/tk-instruct

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

cross-task-generalization few-shot-learning instruction transformer-models zero-shot-learning

Last synced: 19 Dec 2024

https://github.com/megvii-research/DPGN

[CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.

distribution-graph few-shot-learning graph-network unsupervised-learning

Last synced: 28 Nov 2024

https://github.com/markdtw/meta-learning-lstm-pytorch

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

few-shot-learning learning-to-learn meta-learning pytorch

Last synced: 19 Dec 2024

https://github.com/csyanbin/TPN-pytorch

Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

few-shot-learning label-propagation meta-learning pytorch transductive-few-shot-learning

Last synced: 26 Oct 2024

https://github.com/harvard-edge/multilingual_kws

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

few-shot-learning keyword-search keyword-spotting kws query-by-example speech-recognition wake-word-detection

Last synced: 03 Nov 2024

https://github.com/zhaoj9014/dynamic-conditional-networks.pytorch

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

conditional-model deep-learning dynamic-convolution few-shot-learning filter-bank

Last synced: 16 Nov 2024

https://github.com/Na-Z/attMPTI

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

3d 3d-segmentation few-shot-learning point-cloud pytorch

Last synced: 28 Oct 2024

https://github.com/microsoft/snca.pytorch

Improving Generalization via Scalable Neighborhood Component Analysis

computer-vision deep-learning eccv-2018 few-shot-learning nearest-neighbors transfer-learning visual-recognition

Last synced: 04 Dec 2024

https://github.com/VICO-UoE/URL

Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

few-shot-learning knowledge-distillation multi-domain-learning multi-domain-meta-training

Last synced: 15 Nov 2024

https://github.com/dahyun-kang/ifsl

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

computer-vision cvpr2022 deep-learning few-shot-classification few-shot-learning few-shot-segmentation pytorch pytorch-lightning

Last synced: 15 Nov 2024

https://github.com/dahyun-kang/renet

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

computer-vision deep-learning few-shot-classifcation few-shot-learning iccv2021 neural-networks pytorch

Last synced: 15 Nov 2024

https://github.com/Tsingularity/FRN

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

few-shot-learning

Last synced: 05 Nov 2024

https://github.com/microsoft/orbit-dataset

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

benchmark classification computer-vision dataset few-shot-learning machine-learning meta-learning microsoft object-recognition video

Last synced: 16 Dec 2024

https://github.com/reasoning-machines/CoCoGen

Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)

code-generation commonsense-reasoning few-shot-learning large-language-models reasoning

Last synced: 27 Oct 2024

https://github.com/ilia10000/LO-Shot

Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

classification deep-learning deep-neural-networks few-shot-learning knn-classifier machine-learning one-shot-learning supervised-learning

Last synced: 15 Nov 2024

https://github.com/YerevaNN/warp

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/

adversarial few-shot-learning natural-language-processing pretrained-models

Last synced: 16 Nov 2024

https://github.com/imtiazziko/LaplacianShot

Laplacian Regularized Few Shot Learning

few-shot-learning

Last synced: 15 Nov 2024

https://github.com/salesforce/taichi

Open source library for few shot NLP

conversational-ai few-shot-learning intent-classification multilingual nli nlp

Last synced: 08 Nov 2024

https://github.com/ahmdtaha/knowledge_evolution

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

classification computer-vision deep-learning deep-neural-networks few-shot-learning knowledge-distillation knowledge-evolution machine-learning python3 pytorch slim-networks

Last synced: 06 Nov 2024

https://github.com/yaoyao-liu/tiered-imagenet-tools

Tools for generating tieredImageNet dataset and processing batches

dataset few-shot few-shot-learning meta-learning tiered-imagenet

Last synced: 26 Oct 2024

https://debjitpaul.github.io/refiner/

About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!

few-shot-learning gpt-3-5-turbo natural-language-generation natural-language-processing reasoning reasoning-machine

Last synced: 03 Nov 2024

https://github.com/mboudiaf/pytorch-meta-dataset

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

few-shot-classifcation few-shot-learning meta-dataset pytorch tfrecorddataset

Last synced: 15 Nov 2024

https://github.com/sungyubkim/GBML

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

cavia few-shot-learning gradient-based-meta-learning implicit-maml maml meta-learning meta-learning-algorithms neumann-approximation pytorch reptile

Last synced: 15 Nov 2024

https://github.com/baiksung/MeTAL

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

computer-vision deep-learning few-shot-learning iccv machine-learning maml meta-learning pytorch

Last synced: 15 Nov 2024

https://github.com/argilla-io/adept-augmentations

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

dataset datasets few-shot-learning machine-learning natural-language-processing nlp spacy

Last synced: 18 Oct 2024

https://github.com/markdtw/matching-networks

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

few-shot-learning tensorflow

Last synced: 13 Nov 2024

https://github.com/WenbinLee/CovaMNet

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

few-shot-learning second-order

Last synced: 15 Nov 2024

https://github.com/stanford-futuredata/sinkhorn-label-allocation

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

few-shot-learning image-classification optimal-transport semi-supervised-learning

Last synced: 06 Nov 2024