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ebrahimpichka/README.md

About


I’m an Engineering grad student and a 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.

Stack


Python TensorFlow Keras PyTorch PyTorchLighning pyg sklearn
C++ julia julia Colab opencv openaigym scipy

Connect with me


Ebrahim's Twitter Ebrahim's LinkedIn Ebrahim's Medium Ebrahim's Gmail Ebrahim's Stackoverflow



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  1. attn-PG-RL-tsp attn-PG-RL-tsp Public

    A 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

  2. GAT-pt GAT-pt Public

    PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://arxiv.org/abs/1710.10903v3

    Python 30 3

  3. ml-options-pricing ml-options-pricing Public

    Pricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.

    Jupyter Notebook 14

  4. DDPG-implementation DDPG-implementation Public

    An implementation of the DDPG algorithm from the paper "Continuous control with deep reinforcement learning"

    Python 1

  5. GCN-pt GCN-pt Public

    A simple PyTorch implementation of Graph Convolutional Networks based on the paper: https://arxiv.org/abs/1609.02907 (Kipf & Welling, ICLR 2017)

    Jupyter Notebook 1

  6. awesome-optimization awesome-optimization Public

    A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.

    287 36