AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

Implementation of the latest developments in NLP ranging from ensemble learning to BERT. Pipelines are in Tensorflow and Pytorch

Software Engineering Final Project @ NYU

Cloud and ML Final Project @ NYU

BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.

Open Source ASP.NET MVC Ecommerce Shopping Cart Solution

A simple, fully convolutional model for real-time instance segmentation.

Music player and music library manager for Linux, Windows, and macOS

R package to visualize scRNA sequencing data.

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

A Blazor app for requesting data from the Pokemon API

Assorted thoughts, explanations and justifications for code in the scran package and the simpleSingleCell workflow, see https://ltla.github.io/SingleCellThoughts for the compiled version.

A reference architecture to deploy Laravel on a highly available ECS cluster using CloudFormation

Code samples for COMP3200

Starter pack for COMP3200

Interview questions

Single cell trajectory detection

GDI+ library for Autohotkey

R toolkit for single cell genomics

Stochastic Single Cell RNA Velocity

Single-Cell Analysis in Python. Scales to >1M cells.

Python implementation of the Loom file format - http://loompy.org

zUMIs: A fast and flexible pipeline to process RNA sequencing data with UMIs

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets