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Ethan's Projects

6d-pose-estimation-with-ml-in-ar icon 6d-pose-estimation-with-ml-in-ar

This is my Master thesis which evaluates 6D pose estimating deep learning methods for usage in an AR use case. It includes 2 new proxies for Gabriel in order to make the Deep Learning methods usable in AR-enabled devices.

acl icon acl

Server framework and network components written by C/C++ for Linux, Mac, FreeBSD, Solaris(x86), Windows, Android, IOS

ai4animation icon ai4animation

Bringing Characters to Life with Computer Brains in Unity

aishader icon aishader

ChatGPT-powered shader generator for Unity

akvfx icon akvfx

Azure Kinect plugin for Unity VFX Graph

amphion icon amphion

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

android-fat-aar icon android-fat-aar

Gradle script that allows you to merge and embed dependencies in generted aar file

animatorcoder icon animatorcoder

Trigger Unity animations entirely through script - Complete Edition

appearanceeraser icon appearanceeraser

Erasing Appearance Preservation in Optimization-based Smoothing (ECCV 2020)

apriltagtest icon apriltagtest

An experimental implementation of AprilTag tracker for Unity

auto-gpt icon auto-gpt

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

autogen icon autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

automaticdynamicbone icon automaticdynamicbone

采用jobs与指针重写底层,一键生成所有的物理配件,骨骼布料的通用解决方案

awesome-cpp icon awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

azure-open-ai-embeddings-qna icon azure-open-ai-embeddings-qna

A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.

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