Nishad Rajmalwar's repositories
Assignment-1C
Photos
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cornell-cs5785-2021-applied-ml
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)
Language:Jupyter Notebook000
course-resources-ml-with-experts-budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
Language:Jupyter NotebookMIT000
course-v3
The 3rd edition of course.fast.ai
Language:Jupyter NotebookApache-2.0000
Customer-Management-App
Build a Customer Management App using Django
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Deep-Learning-Projects
Projects on Deep Learning
Language:Jupyter Notebook000
EVA-6-Phase-1
Assignment submissions from the EVA-6 Phase 1 program. EVA is an exhaustive and updated Deep Vision program. Phase 1 consists of fundamentals of deep learning and concludes with Transformers and Attention Mechanism for images.
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END2
NLP Clourse
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EVA-Projects
EVA Project 1
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food-101-keras
Food Classification with Deep Learning in Keras / Tensorflow
Language:Jupyter NotebookMIT000
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syde675-project
Term project for SYDE 675: Sea ice extent forecasting using LSTMs, attention, and multiple timeframes
Language:Jupyter Notebook000