JulianYG

JulianYG's Stars

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.7k9961883.4k

• microsoft/MS-DOS

  The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

  Language:Assembly30.6k74704.4k

• taichi-dev/taichi

  Productive, portable, and performant GPU programming in Python.

  Language:C++25.4k3892.7k2.3k

• magenta/magenta

  Magenta: Music and Art Generation with Machine Intelligence

  Language:Python19.1k7539573.7k

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k7016.9k5.8k

• jimp-dev/jimp

  An image processing library written entirely in JavaScript for Node, with zero external or native dependencies.

  Language:TypeScript13.9k144826762

• xtyxtyx/sorry

  在线制作`sorry 为所欲为`的gif

  Language:CSS6.4k154100788

• dedupeio/dedupe

  :id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

  Language:Python4.1k120811550

• ro31337/libretaxi

  Open source Uber #deleteuber

  Language:Go3.8k202412833

• FrontendMasters/front-end-handbook-2017

  2017 edition of our front-end development guide

  Language:HTML3.8k17920520

• dvlab-research/MGM

  Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"

  Language:Python3.2k28131279

• wger-project/wger

  Self hosted FLOSS fitness/workout, nutrition and weight tracker

  Language:Python3.1k72711576

• xieranmaya/blog

  My blog.

  Language:HTML1.7k8712102

• PiotrNawrot/nanoT5

  Fast & Simple repository for pre-training and fine-tuning T5-style models

  Language:Python959173972

• chris1111/Wireless-USB-Big-Sur-Adapter

  Drivers for Realtek 802.11n and 802.11ac USB Wi-Fi adapters. Packages for macOS

  Language:Rich Text Format8673615590

• skriegman/reconfigurable_organisms

  A scalable pipeline for designing reconfigurable organisms

  Language:C++761637168

• Yuan-ManX/ai-game-devtools

  Here we will keep track of the latest AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥

  43319551

• retorquere/zotero-folder-import

  Language:TypeScript32071819

• audreyt/lingua-sinica-perlyuyan

  Perl in Classical Chinese in Perl

  Language:Perl28316228

• ztsec/xtp_api_python

  Language:C++252174112

• cmbruns/pyopenvr

  Unofficial python bindings for Valve's OpenVR virtual reality SDK

  Language:Python249258140

• pirobot/rbx2

  ROS By Example Volume 2

  Language:C++153207101

• ckcollab/chin-up

  Track your metrics (motivation, happiness, relationships) and find correlations in your behaviors

  Language:CSS82623

• reckonMe/reckonMe

  Live inertial navigation, proximity detection and collaborative localisation on a mobile device (iOS).

  Language:C75124420

• saeed771/cpp_book

  5600155

• benelot/bullet-gym

  Experimental (stable, go here: https://github.com/benelot/pybullet-gym) repository of OpenAI Gym environments implemented with Bullet Physics using pybullet.

  Language:Python554107

• ionkaon/dictionary

  甬江話字詞表・A dictionary for Ningbo Dialect

  Language:Python27210

• soudazhou/Kinect-Analysis-Tool-for-Barbell-Weightlifting

  The aim of this project is to design and implement a software tool that will provide useful feedback for weightlifters wishing to improve their performance in the barbell deadlift. The tool will provide automatic feedback on lifts captured by a Microsoft Kinect 3D camera. It will exploit the Kinect's skeletisation capabilities to extract relevant joint angles in order to allow the comparison of different lifts. If the subject performs a set of lifts one after the other then the tool will identify where each individual lift starts and stops to make comparison easier. It enables recording of the weightlifting sessions with automatic detection and tracking of human body joints, extracting relevant information such as angles of human body joints from the lift, as well as analysis, evaluation and comparison with other lifts. It also allows the user to evaluate the performance of their lifts without the company of professional coaches which helps boosting weightlifting performance.

  94

• JulianYG/perls

  SteamVR - BulletPhysics - ROS interface

  Language:Python41410

• NTU-LANTERN/GRASP_retro

  Language:Python3220