JRyanShue

NFD

Official codebase for the paper "3D Neural Field Generation using Triplane Diffusion"

MegaHack2022-YamanBlakeRyan

1898A

Elio, Ryan, Katherine

4DGaussians

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

AIR-Nets

DCGAN

Functional implementation of the paper "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks"

MobileNetV2

Implementation of the paper "MobileNetV2: Inverted Residuals and Linear Bottlenecks" from scratch.

Zenger-API

Backend code for 3D printer online software. Runs a WSGI API on EC2.

ZengerWriterV1

Fully functional first version of Zenger Writer, a cloud-based slicer. As of now, a demo is being hosted at http://zenger3d.com.

ZengerWriterV2

Client-side source code for Zenger Writer, served via EC2, connected to WSGI-served API. Built in JS, partially with React. Currently being developed as a cleaner rebuild of ZengerWriterV1.

BERT

Implementation of the paper "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" from scratch.

CalcStat-GeniusSquare

CalcStat analysis of the Genius Square game.

convolutional_occupancy_networks

[ECCV'20] Convolutional Occupancy Networks

EfficientNet

Implementation of the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" from scratch

eg3d

jryanshue.github.io

kaolin-wisp

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

ldif

3D Shape Representation with Local Deep Implicit Functions.

ldif_clone

ldif clone for searchability

Objects-GAN

GAN for 3D-printable objects

occupancy_networks

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

personal-website

Plastik

Mockup for Plastik, Generative AI for Industrial Design.

POCO

propellarobotics.github.io

Review-Analysis

Given an Amazon movie review, will predict how many stars the review got. Useful for people who have a review in mind, but aren't sure how many stars to give fairly. LSTM with TensorFlow, Flask API integration, HTML/CSS frontend.

RL-Practice

Building different RL agents on OpenAI Gym

RyanNN

Neural Net implementation from scratch

V100Test

Test running code on AWS Nvidia V100 GPU

Vision-Transformer

Implementation of the paper "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale". Transformers currently exceed CNN accuracy on ImageNet