Hybrid Discriminative-Generative Training via Contrastive Learning
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Updated
May 1, 2023 - Python
Hybrid Discriminative-Generative Training via Contrastive Learning
Compilation of Natural Language Processing (NLP) codes. BONUS: Link to Information Retrieval (IR) codes compilation. (checkout the readme)
A work to improve CLIP's visual detail capturing ability by inverting the unCLIP generative model.
Build a predictive system, which will take different handwritten digit images as a path and can recognize the label of the image data using nueral network.
A work to explore discriminative abilities in frozen pretrained generative models.
Source code of the GemClus package
Assignment submission for the course Pattern Recognition and Machine Learning (CS5691) in the Spring 2021 Semester, under Prof. C Chandra Sekhar. Team mates : Reetwik Das ( CS20D402), Shubhanshu Sharma (EE20D413)
Codes and projects used in the machine learning course.
Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.
Simple Machine Learning Projects done for a Data Science Course
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