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angular2-sandbox

A collection of simple AngularJS 2.x projects and POCs.

ansible-role-chrony

ansible-role-nvidia-driver

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

binder-demo

Thin client to be used for demos from BinderHub

binderhub-styles

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

charts

Helm Charts

cheqit

Tinder before it was cool

cloud-native-stack

Run cloud native workloads on NVIDIA GPUs

coursera-algs4parti-009

A collection of python scripts to implement various sort/search algorithms and supporting data structures.

coursera-androidpart1-004

Sample Android applications, demos, and projects.

coursera-exdata-09

This repo contains several R scripts that were used to analyze, plot, and clean data from various datasets. These projects were part of the Coursera course, Exploratory Data Analysis. The end results of the analysis are included.

coursera-ml-008

Collection of Matlab machine learning projects to build basic ML components (Neural Nets, implement Gradient Descent, etc.) and solve some ML problems (image detection, etc.). Developed as part of the Machine Learning Coursera course.

crazyflie

AADL models for the Crazyflie UAV -- OMSCS Class CS7639

deep_data_bench

Highly verstatile Python SQL Benchmarking tool that generates realistic queries to test performance of any SQL database schema on any given hardware platform. I was a contributing member of this project originally developed at Deep Information Sciences.

deeplearningexamples

Deep Learning Examples

deepops

Tools for building GPU clusters

deepops-hot

Hands-on Training Materials for DeepOps

deeptools

A collection of Python, PHP, and Bash utilities developed to ease loading, migration, and benchmarking of SQL databases. I modified and supported these scripts as a member of the Deep Information Sciences team.

easybuild-framework

EasyBuild is a software installation framework in Python that allows you to install software in a structured and robust way.

fastai-courses

A collection of machine learning projects that utilize various deep learning technologies, models, and frameworks to solve real problems. Based on the fast.ai MOOC.

frc-data-analysis

A Collection of R, Matlab, and Bash scripts that were developed in real-time from the stands of a FRC competition. Gathered data from various online sources, parsed it, and ran some basic analysis on it to calculate ratings and make basic match predictions. Results were mad public and hosted live via AWS. Developed as a student teaching tool under poor Internet Connectivity with minimal access to real-time match data.

gpu-operator

NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes

hello-world-github

This is a hello world git project that was used to teach/mentor several students and colleagues on Git basics, GitHub use, and some Python/Java basics.

helmchart

Helm Chart for Pachyderm

jupyter-samples

Sample Jupyter notebooks

k8s-rapids-dask

A collection of examples for integrating k8s, dask, and rapids and the supporing Docker infrastructure.

kaggle-public

A collection of Python and Matlab projects aimed at utilizing various machine learning techniques to solve big data problems.

kserve

Standardized Serverless ML Inference Platform on Kubernetes