llky's repositories
sift_img_splice
Python实现（包括卷积缩放等），拼接用opencv
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
daidaiershidi.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
ddrraawwiioo
save
Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
hugo-theme-stack
Card-style Hugo theme designed for bloggers
midjourney-proxy
代理 MidJourney 的discord频道，实现api形式调用AI绘图
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
MMN
[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Paddle.js
Paddle.js is a web project for Baidu PaddlePaddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could run in every browser with WebGL/WebGPU/WebAssembly supported. It could also run in Baidu Smartprogram and WX miniprogram.
PaddleVideo
Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application
pyskl
A toolbox for skeleton-based action recognition.
recognize-anything
Code for the Recognize Anything Model (RAM) and Tag2Text Model
SinMDM
Single Motion Diffusion Model
T2M-GPT
(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”
TadTR
End-to-end Temporal Action Detection with Transformer. [Under review for a journal publication]
temp
1
ViGA-1
"Video Moment Retrieval from Text Queries via Single Frame Annotation" in SIGIR 2022.