Slightly Tweaked implementation of the Zero-Shot Person Re-identification via Cross-View Consistency in Pytorch
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Updated
Nov 4, 2019 - Python
Slightly Tweaked implementation of the Zero-Shot Person Re-identification via Cross-View Consistency in Pytorch
An Inventory Management system that utilizes zero-shot learning and machine vision to automatically classify and track inventory items.
MSci Dissertation - Zero-Shot Learning: Towards the Effortless Classification of Mystical Creatures
SynPL: a zero-shot prompt language model to process multiple-choice questions on synonyms
Effortlessly perform sentiment analysis, translation, speech synthesis, summarization, and Q&A tasks with an interactive UI using prompt engineering
Master Thesis on Analyzing Slot and Intent Detection for Upper German Dialects via Zero-Shot Transfer Learning
Kickstart with LLMs
Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank, Malkin et al., NAACL 2022
Contextualized Topic Modeling using Zero-Shot Learning on Indic Languages (IndicCTM)
零样本论文学习总结
Zero Shot Classification with HuggingFace Pipeline
Advanced Feature Generating Networks for Zero-Shot Learning with Axial Attention transformer
AdaptKeyBERT: keyword/keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders
The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".
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
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