Arukaito

Arukaito's Stars

• JHJORE/NeRF_in_Ue5

  113

• shubham-goel/4D-Humans

  4DHumans: Reconstructing and Tracking Humans with Transformers

  Language:Python1.2k115

• w-okada/voice-changer

  リアルタイムボイスチェンジャー Realtime Voice Changer

  Language:Python16.1k1.8k

• workout-lol/workout-lol

  A simple way to create a workout plan

  Language:JavaScript1.3k90

• wasp-lang/wasp

  The fastest way to develop full-stack web apps with React & Node.js.

  Language:TypeScript13.5k1.2k

• MineDojo/Voyager

  An Open-Ended Embodied Agent with Large Language Models

  Language:JavaScript5.5k512

• nat/openplayground

  An LLM playground you can run on your laptop

  Language:TypeScript6.2k483

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python167k44.2k

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.1k411

• zjc062/mind-vis

  Code base for MinD-Vis

  Language:Python74491

• wasp-lang/SaaS-Template-GPT

  Language:TypeScript668103

• kabachuha/sd-webui-text2video

  Auto1111 extension implementing text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies

  Language:Python1.3k106

• AbyszOne/Abysz_lab

  AI video temporal coherence Lab

  Language:Python553

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.4k4k

• jsuarezruiz/xamarin-forms-goodlooking-UI

  Xamarin.Forms goodlooking UI samples

  2.6k528

• odoo/odoo

  Odoo. Open Source Apps To Grow Your Business.

  Language:Python37.8k24.6k

• carson-katri/dream-textures

  Stable Diffusion built-in to Blender

  Language:Python7.8k422

• Vetchems/sd-danbooru-tags

  Filtered danbooru tag lists for use with wildcard script or dynamic prompt script

  212

• leszekhanusz/diffusion-ui

  Frontend for deeplearning Image generation

  Language:Jupyter Notebook14212

• avaneev/prvhash

  PRVHASH - Pseudo-Random-Value Hash. Hash functions, PRNG with unlimited period, randomness extractor, and a glimpse into abyss. (inline C/C++) (Codename Gradilac/Градилак)

  Language:C30423

• altryne/awesome-ai-art-image-synthesis

  A list of awesome tools, ideas, prompt engineering tools, colabs, models, and helpers for the prompt designer playing with aiArt and image synthesis. Covers Dalle2, MidJourney, StableDiffusion, and open source tools.

  1.7k120

• agermanidis/Liquid-Warping-GAN

  PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

  Language:Python605

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python25.4k5.3k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.7k10.1k

• ax00b3/Fatum

  The Fatum Project using quantum randomness to influence the macro level.

  Language:C#2113

• aaqibmehrban/Automatic-Reddit-text-to-Video-Generator-and-youtube-uploader

  You would have noticed alot of channel getting popular on YouTube just by uploading “Reddit to Text-To-Speech” YouTube Videos. So I decided to create a program that can automate the process of receiving, generating and uploading these videos to YouTube with as little intervention as possible. It took me one month to complete this project. I divided the project to 3 scripts. The idea was to minimize as much manual intervention as possible and automate all the trivial tasks. However the process cannot be 100% automated. For example comments with links in them cannot be kept as quality of the video will be comprised due to the TTS. Additionally while a comment might have a large number of votes it could potentially be offensive and not safe for a YouTube video and thus must be removed. The thumbnail, while partially generated, must be edited in order to create any kind of appeal to viewers to click on your video. The same goes for the title of the video which must be clickbait-y in order to receive any attention. I have attempted to streamline the manual process with the client program and it takes me approximately 30 minutes to create 6 videos (the max that can be uploaded within 24 hours with the YouTube Data API).

  Language:Python6816

• Morphogens/ProsePainter

  Language:Python28333

• HashLips/generative-art-node

  Create generative art by using the canvas api and node js

  Language:JavaScript2.1k915

• NotNANtoN/diffusion_gen

  Language:Jupyter Notebook5311

• Kazuhito00/AnimeGANv2-ONNX-Sample

  「PyTorch Implementation of AnimeGANv2」のPythonでのONNX推論サンプル

  Language:Jupyter Notebook6412