nparkstar's Projects
CheatSheet for 18.6501x
This repo contain example notebooks with instructions on using Intel AI Software listed in AWS SageMaker Marketplace.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Experiments API for Experiment Tracking on Kubernetes
:books: Freely available programming books
Open source social sign on PHP Library. HybridAuth goal is to act as an abstract api between your application and various social apis and identities providers such as Facebook, Twitter and Google.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Multi-user server for Jupyter notebooks
Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.
Models and examples built with TensorFlow
Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
A multi-user, distributed computing environment for running DL model training experiments on Intel® Xeon® Scalable processor-based systems
This repository contains pack's templates used by the Nauta (https://github.com/IntelAI/nauta) system.
GPL bases sources for Intel NNP-I card
Config files for my GitHub profile.
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
One-Shot Video Object Segmentation
Video Object Segmentation using Space-Time Memory Networks
U-Net Biomedical Image Segmentation