Cross-Lingual Alignment of Contextual Word Embeddings
-
Updated
Feb 12, 2020 - Python
Cross-Lingual Alignment of Contextual Word Embeddings
Topic Inference with Zeroshot models
Zero Shot Image Classification but more, Supports Multilingual labelling and a variety of CNN based models for a vision backbone by using OpenAI CLIP for $ conscious uses (Super simple, so a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da
Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da
The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".
AdaptKeyBERT: keyword/keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation
Code for Generalized Zero-Shot Text Classification for ICD Coding (IJCAI 2020)
Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank, Malkin et al., NAACL 2022
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders
Advanced Feature Generating Networks for Zero-Shot Learning with Axial Attention transformer
Kickstart with LLMs
零样本论文学习总结
Glial-inspired ANN algorithm for unsupervised classification and zero-shot forecasting of nonstationary dynamics, based on dynamical systems and simplicial homotopy theory. Preprint of the manuscript available in the URL.
Ollama structured output for visual zeroshot reasoning
Zero Shot Classification with HuggingFace Pipeline
zeroshot-engine: Zero-Shot Text Classification with LLMs in Python
Slightly Tweaked implementation of the Zero-Shot Person Re-identification via Cross-View Consistency in Pytorch
Este repositório é um tutorial completo e prático que explora metodologias avançadas para a classificação de sentimentos e emoções em textos, utilizando Modelos de Linguagem de Grande Porte (LLMs). O projeto foi desenvolvido para ser acessível, com todos os exemplos executáveis em ambientes gratuitos como o Google Colab.
Contextualized Topic Modeling using Zero-Shot Learning on Indic Languages (IndicCTM)
Add a description, image, and links to the zeroshot-learning topic page so that developers can more easily learn about it.
To associate your repository with the zeroshot-learning topic, visit your repo's landing page and select "manage topics."