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1. PortNLP/MEEP PortNLP/MEEP Public

   Code for Prompting Large Language Models for Dialogue Evaluation in Multilingual Settings

   Python 1

2. Perceptron Perceptron Public

   Trains a perceptron to recognize handwritten numbers using the MNIST data set

   Python

3. LeNetOnCIFAR-10 LeNetOnCIFAR-10 Public

   Using LeNet Architecture with variations on learning rate, activation function, loss function, kernel size, and number of convolution layers

   Python

4. TransferLearning TransferLearning Public

   Two pretrained models were used, ResNet50 and VGG19, with transfer learning to train categoriz- ing on the MNIST dataset.

   Python

5. UnsupervisedLearningWithKMeans UnsupervisedLearningWithKMeans Public

   Unsupervised Learning using K-means and Denoising on the MNIST dataset

   Python

6. SpatialTransformerNetwork SpatialTransformerNetwork Public

   A Spatial Transformer Network yields 98.89% on unaltered MNIST data and 90.84% on zoomed images

   Python