Cross-Lingual Alignment of Contextual Word Embeddings
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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".
Code for Generalized Zero-Shot Text Classification for ICD Coding (IJCAI 2020)
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders
Slightly Tweaked implementation of the Zero-Shot Person Re-identification via Cross-View Consistency in Pytorch
Effortlessly perform sentiment analysis, translation, speech synthesis, summarization, and Q&A tasks with an interactive UI using prompt engineering
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