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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 61 22

2. 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 36 5

3. 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

4. AdaptKeyBERT AdaptKeyBERT Public

   Forked from MaartenGr/KeyBERT

   AdaptKeyBERT: keyword/keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation

   Jupyter Notebook 24 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 5

6. GeneticPromptLab GeneticPromptLab Public

   GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently explori…

   Python 15