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Grad Student at Mila/McGill | Prev at Microsoft Research | NLP | ML
SVAMP. NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?
143Compositional-Generalization-Seq2Seq. ACL 2022: Revisiting the Compositional Generalization Abilities of Neural Sequence Models
13Raw-ML-Classifiers. Implementations of six Machine Learning Classifiers using only standard Python libraries such as NumPy and Pandas.
9Noise-Removal-using-an-Adaptive-Linear-Network. Removing noise from a sound wave (Audio or randomly generated) using only an ADALINE Network.
9Machine-Learning-in-Repeated-Games. Applying reinforcement learning to learn the past outcomes of a repeated game between two players to determine the best response strategy.
7Object-Localization---Flipkart-Dataset. Draw bounding boxes around the objects.
6Binary-Classification-using-ADALINE. Given a figure constrained in a grid of 4x4 points, classify whether the figure is a 'T' or a 'J' using only an Adaptive Linear Network.
5Tic-Tac-Toe-Bot. Built a simulation of the Tic-Tac-Toe game in C++ as a human vs computer game to demonstrate that by changing one rule of the game, the computer player (bot) always has the winning strategy.
5Database-Systems-Labs. Lab questions and solutions of Database Systems Sem2 2017-18
3Adder-McCulloch-Pitts-Model. GUI tool developed using python's Tkinter library to demonstrate the working of a McCulloch-Pitts Model of a Neural Network for adding two numbers.
3Football-Game. Developed a Human vs Computer GUI football game (5v5) in Turbo-C++ during my early days of learning coding.
3Machine-Learning-Sem2-2018-19. Codes of Machine Learning course during Sem2 2018-19
2DSA-Codes. Codes from DSA Sem2 2017-18
1Data-Mining-Sem1-2018-19. My assignment codes and tutorial codes of Data Mining during semester 1 2018-19
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