Topic: zeroshot-learning Goto Github
Some thing interesting about zeroshot-learning
Some thing interesting about zeroshot-learning
zeroshot-learning,Kickstart with LLMs
User: alinamustaqeem
zeroshot-learning,Zero Shot Classification with HuggingFace Pipeline
User: bhattbhavesh91
zeroshot-learning,Contextualized Topic Modeling using Zero-Shot Learning on Indic Languages (IndicCTM)
User: divyarustagi10
zeroshot-learning,Arbitrary Style Transfer
User: gaow0007
zeroshot-learning,
User: jivanni
Home Page: https://huggingface.co/Jiva/xlm-roberta-large-it-mnli
zeroshot-learning,Topic Inference with Zeroshot models
Organization: maxent-ai
zeroshot-learning,Slightly Tweaked implementation of the Zero-Shot Person Re-identification via Cross-View Consistency in Pytorch
User: ppriyank
zeroshot-learning,Effortlessly perform sentiment analysis, translation, speech synthesis, summarization, and Q&A tasks with an interactive UI using prompt engineering
User: praveendecode
zeroshot-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
User: prithivirajdamodaran
zeroshot-learning,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
User: prithivirajdamodaran
zeroshot-learning,Advanced Feature Generating Networks for Zero-Shot Learning with Axial Attention transformer
User: purbayankar
zeroshot-learning,
User: ranarag
zeroshot-learning,Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders
User: savnani5
zeroshot-learning,MSci Dissertation - Zero-Shot Learning: Towards the Effortless Classification of Mystical Creatures
User: shadowbourne
zeroshot-learning, Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank, Malkin et al., NAACL 2022
Organization: slab-nlp
zeroshot-learning,Cross-Lingual Alignment of Contextual Word Embeddings
User: talschuster
zeroshot-learning,Master Thesis on Analyzing Slot and Intent Detection for Upper German Dialects via Zero-Shot Transfer Learning
User: xaverkrueckl
zeroshot-learning,零样本论文学习总结
User: youyicloud
zeroshot-learning,The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".
User: zcrwind
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