I’m an engineering graduate and ML enthusiast/researcher. My interests primarily include deep RL, applications of machine learning in mathematical optimization and operations research, graph representation learning, and geometric deep learning. Also, I always have an eye for advances and research in more fundamental topics of AI such as optimization techniques, and learning methods.
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GNN-RecSys
GNN-RecSys PublicImplementation and testing of LightGCN with some variations. Graph-Neural-Network-based recommendation system.
Jupyter Notebook
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attn-PG-RL-tsp
attn-PG-RL-tsp PublicA PyTorch implementation of the attention-based Policy Gradient RL for learning to solve Travelling Salesperson Problem based on the paper https://doi.org/10.1007/978-3-319-93031-2_12
Jupyter Notebook 8
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awesome-optimization
awesome-optimization PublicA curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
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OptionPricingLib
OptionPricingLib PublicC++ library for pricing options using various numerical methods, designed for quantitative finance applications
C++ 1
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DDPG-implementation
DDPG-implementation PublicAn implementation of the DDPG algorithm from the paper "Continuous control with deep reinforcement learning"
Python 1
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