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AmanPriyanshu/README.md

Aman Priyanshu's github stats

Hi there I'm Aman Priyanshu,

I am a Privacy Engineering Student pursuing MS in Privacy Engineering at CMU👨‍💻. I am deeply passionate about Deep Learning, Cyber Security and the Research bringing together these two vast fields. Exploring opportunities to learn and grow to pursue development and research in these and other technologies. Please check out my Website!

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Research Enthusiast.

👨‍🎓 Studying Information Technology at Manipal Institute of Technology.

My Interests: Deep Learning and Privacy Enabled Machine Learning

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  1. Deep-Belief-Networks-in-PyTorch Deep-Belief-Networks-in-PyTorch Public

    The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model types.

    Python 49 16

  2. DP-HyperparamTuning DP-HyperparamTuning Public

    DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.

    Jupyter Notebook 23 5

  3. Federated-Recommendation-Neural-Collaborative-Filtering Federated-Recommendation-Neural-Collaborative-Filtering Public

    Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to fed…

    Python 25 4

  4. AdaptKeyBERT AdaptKeyBERT Public

    Forked from MaartenGr/KeyBERT

    AdaptKeyBERT extended keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation

    Jupyter Notebook 21 2

  5. FedPAQ-MNIST-implemenation FedPAQ-MNIST-implemenation Public

    An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))

    Python 21 3

  6. DPSDV DPSDV Public

    Forked from sdv-dev/SDV

    Creating a Differential Privacy securing Synthetic Data Generation for tabular, relational and time series data.

    Python 5 1