joepareti54
I am a Machine Learning consultant, with a focus on AI applications for Bioscience and Engineering.
Joseph Pareti AI consulting
Pinned Repositories
alphafold3-diffusion-demo
autoencoder
a simple keras autoencoder made by chatgpt
Automatic_Speech_Recognition
CreateGoogleSlidesPresentation
programmatically create a google slides presntation from jpg files or other images
CustomerSegments
Identify customer segments to increase sales. It is based on a demographic file containing ~900K records, and a ~200K customers’ records file.
experimenting_with_huggingface
NMT tests
F_MNIST_train_inference_validation
joepareti54's Repositories
joepareti54/alphafold3-diffusion-demo
joepareti54/autoencoder
a simple keras autoencoder made by chatgpt
joepareti54/Automatic_Speech_Recognition
joepareti54/CreateGoogleSlidesPresentation
programmatically create a google slides presntation from jpg files or other images
joepareti54/CustomerSegments
Identify customer segments to increase sales. It is based on a demographic file containing ~900K records, and a ~200K customers’ records file.
joepareti54/experimenting_with_huggingface
NMT tests
joepareti54/F_MNIST_train_inference_validation
joepareti54/image-classification
train a NN using PyTorch for image classification
joepareti54/ImageClassificationUsingPytorch
use a pre-trained Convolutional Neural Network, and replace the last layers for the purpose of classifying custom data
joepareti54/joepareti54
Config files for my GitHub profile.
joepareti54/LSTM-tests
joepareti54/ML0
machine-learning repo
joepareti54/more_basic_tests_for_DL
joepareti54/NLP-and-co-occurrence-matrix
build the co-occurrence matrix as required in Manning's workshop
joepareti54/NLP_experiments
joepareti54/Non_supervised_learning
investigate clustering algorithms including k-means, etc
joepareti54/pandas_basic_test
simple code to learn pandas functionality
joepareti54/PCA
experimenting with PCA and random forest classifier on the MNIST dataset
joepareti54/Pytorch_model_checkpoint
how to save and retrieve a pytorch model
joepareti54/Scientific-ML
PINNs, MLFLOW and other open source tools for solving PDEs using neural networks
joepareti54/Test_PCA_K-means
joepareti54/Variational-Auto-Encoder
Re-writing a VAE code for better readability
joepareti54/work_with_google_trax
practice with the code provided by the Coursera training