Chris Pontarolo-Maag's Projects
Grade bubble sheet using computer vision
Learning CircleCI
Sample Javascript/Express app building on CircleCI
Identify the better strategy for session level predictions that lead to personalization.
Deploy a high-availability web app using CloudFormation
Classify dog breeds with transfer learning using ResNet50 model
Use CycleGAN to generate nighttime images from daytime images
Data engineering projects with Spark, Airflow, Redshift, PostgreSQL and Cassandra
Deploy PyTorch text sentiment model using Amazon SageMaker, Lambda, and API Gateway
Machine learning pipeline and web app for categorizing text data into multiple classes
Image classification of Google Image results using fastai v1 library
Deploy machine learning model using FastAPI
Detect lane lines for self-driving cars using OpenCV
Deploying TensorFlow Lite model using Flask
Functional programming community of practice template
Code for generative adversarial network that generates faces
Preprocess text data and then use LSTM to generate a TV script
Code for ensembles that utilizes GridSearchCV to improve metrics
Use LSTM to predict sentiment
Public repo for DeepLearning.AI MLEP Specialization
Implement forward pass and backpropagation for neural network using Numpy
Translate English text into French using embeddings and bidirectional GRUs
Backend for devcamper app using NodeJS, Express, and MongoDB
Build Hidden Markov Model for part of speech tagging
Dimensionality reduction with PCA followed by clustering using KMeans to identify customer groups
Pix2Pix GAN for paired image-to-image translation to convert building facades to real buildings
Connect to open city data through SODA API and visualize with Plotly
Real-time speech enhancement for a better workflow. PyTorch deep learning model deployed as Flask application on GCP.