DeminYu98

DeminYu98's Stars

• MasterBin-IIAU/UNINEXT

  [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

  Language:Python1.5k158

• JunyaoHu/common_metrics_on_video_quality

  You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.

  Language:Python26210

• ChenFengYe/motion-latent-diffusion

  [CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model

  Language:Python60656

• nihaomiao/CVPR23_LFDM

  The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"

  Language:Python45442

• reorx/awesome-chatgpt-api

  Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.

  Language:Python6k382

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python31.1k2.8k

• easychen/openai-gpt-dev-notes-for-cn-developer

  如何快速开发一个OpenAI/GPT应用：国内开发者笔记

  Language:Shell1.5k99

• gnobitab/RectifiedFlow

  Official Implementation of Rectified Flow (ICLR2023 Spotlight)

  Language:Python1k61

• cobanov/awesome-diffusion

  A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.

  21114

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.3k952

• luochuyao/PFST-LSTM

  This is a Pytorch implementation of PFST-LSTM, a recurrent model for precipitation nowcasting (radar echo extrapolation) as described in the following paper: PFST-LSTM: a SpatioTemporal LSTM Model with Pseudo-flow Prediction for Precipitation Nowcasting

  Language:Python269

• steven2358/awesome-generative-ai

  A curated list of modern Generative Artificial Intelligence projects and services

  6k671

• moein-shariatnia/Pix2Seq

  Simple Implementation of Pix2Seq model for object detection in PyTorch

  Language:Python11916

• IDEA-Research/awesome-detection-transformer

  Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

  1.3k113

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.8k2.5k

• JDAI-CV/FaceX-Zoo

  A PyTorch Toolbox for Face Recognition

  Language:Python1.9k433

• serengil/deepface

  A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

  Language:Python15.2k2.3k

• shawnrosofsky/PINO_Applications

  Applications of PINOs

  Language:Jupyter Notebook11226

• Romain3Ch216/p3VAE

  Repository for the paper "p3VAE: a physics-integrated generative model. Application to the pixel-wise classification of hyperspectral images".

  Language:Python11

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.8k8k

• alibaba/EasyCV

  An all-in-one toolkit for computer vision

  Language:Python1.8k207

• microsoft/DigiFace1M

  28025

• VisDrone/Awesome-VisDrone

  You can find the latest data,algorithms, paper in the area of drone based computer vision.

  15117

• IDEA-Research/detrex

  detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

  Language:Python2.1k213

• jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships

  A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

  42569

• dk-liang/Awesome-Visual-Transformer

  Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

  3.4k400

• xmu-xiaoma666/FightingCV-Paper-Reading

  ⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀

  Language:Shell79991

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k1.9k

• CASIA-IVA-Lab/DCFST

  DCFST

  Language:Python185

• tczhangzhi/pytorch-distributed

  A quickstart and benchmark for pytorch distributed training.

  Language:Python1.6k299