whq2017

whq2017's Stars

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.2k286422.3k

• XTLS/Xray-core

  Xray, Penetrates Everything. Also the best v2ray-core, with XTLS support. Fully compatible configuration.

  Language:Go25.6k3352.2k4k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14.2k1191.1k1.3k

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  12.7k270120808

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.9k963461.5k

• wulabing/Xray_onekey

  Xray 基于 Nginx 的 VLESS + XTLS 一键安装脚本

  Language:Shell9.3k2163913.6k

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.4k362981k

• scikit-image/scikit-image

  Image processing in Python

  Language:Python6.1k1862.7k2.2k

• XuehaiPan/nvitop

  An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

  Language:Python4.8k2486151

• kf-liu/The-Art-of-Linear-Algebra-zh-CN

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.

  Language:PostScript4.5k420452

• rom1504/img2dataset

  Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

  Language:Python3.7k31261338

• schrodingercatss/tuning_playbook_zh_cn

  一本系统地教你将深度学习模型的性能最大化的战术手册。

  2.5k155228

• XTLS/Xray-examples

  Some examples of uses for Xray-core.

  Language:Shell2.2k49111764

• 52CV/CV-Surveys

  计算机视觉相关综述。包括目标检测、跟踪........

  1.9k385242

• XTLS/Xray-install

  Easiest way to install & upgrade Xray.

  Language:Shell1.9k3849487

• LuChengTHU/dpm-solver

  Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

  Language:Python1.6k2053121

• ermongroup/ddim

  Denoising Diffusion Implicit Models

  Language:Python1.5k1137208

• SHI-Labs/Versatile-Diffusion

  Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, arXiv 2022 / ICCV 2023

  Language:Python1.3k283484

• tzmax/V2RayXS

  GUI for xray-core on macOS

  Language:Objective-C1k96985

• 52CV/CVPR-2023-Papers

  93916779

• baofff/U-ViT

  A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

  Language:Jupyter Notebook924122761

• xiaohu2015/nngen

  Language:Jupyter Notebook4612376

• alibaba/proxima

  Language:C++379192169

• VinAIResearch/WaveDiff

  Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)

  Language:Python377121429

• ChunyuanLI/Optimus

  Optimus: the first large-scale pre-trained VAE language model

  Language:Python375133037

• drboog/Shifted_Diffusion

  Code for Shifted Diffusion for Text-to-image Generation (CVPR 2023)

  Language:Python16061611

• rasbt/cvpr2023

  Language:Python1274811

• 52CV/WACV-2023-Papers

  64404

• mhh0318/UniD3

  Language:Python47250

• jmhessel/pycocoevalcap

  Python 3 support for the MS COCO caption evaluation tools

  Language:Python14106