ajd12342/deep-learning-assignments

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ajd12342/deep-learning-assignments

ajd12342

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A few deep learning assignments from various topics done as part of online deep learning courses(MOOCs).

why-winoground-hard

Code for 'Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality', EMNLP 2022

unit-speech-translation

Code for 'Unit-based Speech-to-Speech Translation Without Parallel Data'

profiling-transformers

Code for 'When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants', ACL 2023

markdown-cheatsheet

Cheatsheet I found at https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet#code

ai-ml-notes

Originally written short notes for various AI/ML topics.

vhdl-packet-classifier

Course Project for Digital Logic Design (CS 226), Spring 2019, IIT Bombay. Packet classifier submodule of a router implemented in VHDL and simulated in ISim using Xilinx ISE. The module supports simultaneous input and output of packets and forwards/stores packets by parsing the header for opcode and path pointer.

CS251-Battleship

Course Project for Software Systems Lab(CS251), Autumn 2018, IIT Bombay. Battleship Game( https://en.wikipedia.org/wiki/Battleship_(puzzle) ) was implemented using Django and django-channels for the backend and React, HTML, and JS for the frontend.