阿星 (55utah)

55utah

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Company:bytedance

Location:hangzhou

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阿星's starred repositories

Paint-by-Example

Paint by Example: Exemplar-based Image Editing with Diffusion Models

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ProFusion

Code for Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach

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reactpy

It's React, but in Python

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DeepLearning

Deep Learning (Python, C, C++, Java, Scala, Go)

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DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

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DDPM

PyTorch DDPM implementation

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diffusion-models-pytorch

Implement Diffusion Models with PyTorch.

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nerfstudio

A collaboration friendly studio for NeRFs

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Keras-DDPM

生成扩散模型的Keras实现

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vae

a simple vae and cvae from keras

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DenoisingDiffusionProbabilityModel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

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diffusion_model

An online playground of diffusion model

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shap-e

Generate 3D objects conditioned on text or images

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awesome-bilibili

b 站的宝藏 up 主名单,他们教技术。关于 Web 开发、计算机科学、机器学习、游戏开发、网络安全等 😎

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awesome-rust

A curated list of Rust code and resources.

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Fantasia3D

(ICCV2023) official repository for "Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation"

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web-stable-diffusion

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

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web-llm

High-performance In-browser LLM Inference Engine

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AnimatedDrawings

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

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weekly

科技爱好者周刊,每周五发布

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chatgpt-mirai-qq-bot

🚀 一键部署!真正的 AI 聊天机器人!支持ChatGPT、文心一言、讯飞星火、Bing、Bard、ChatGLM、POE,多账号,人设调教,虚拟女仆、图片渲染、语音发送 | 支持 QQ、Telegram、Discord、微信 等平台

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gpt4all

GPT4All: Chat with Local LLMs on Any Device

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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Video-P2P

Video-P2P: Video Editing with Cross-attention Control

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dive_into_deep_learning

✔️李沐 【动手学深度学习】课程学习笔记:使用pycharm编程,基于pytorch框架实现。

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Awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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