Pinned Repositories
2s-AGCN
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19
AI-Practice-Tensorflow-Notes
人工智能实践：Tensorflow笔记
CONTA
Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation
DUT_PRML
DUT_PRML
einsum
与pytorch中c++的einsum源码一致
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Gesture_Recognition
石头剪刀布识别、pytorch
Ghelper
help to apply Ghelper
nlp-kbqa
sift_img_splice
Python实现（包括卷积缩放等），拼接用opencv
daidaiershidi's Repositories
daidaiershidi/sift_img_splice
Python实现（包括卷积缩放等），拼接用opencv
daidaiershidi/einsum
与pytorch中c++的einsum源码一致
daidaiershidi/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
daidaiershidi/nlp-kbqa
daidaiershidi/daidaiershidi
daidaiershidi/daidaiershidi.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
daidaiershidi/ddrraawwiioo
save
daidaiershidi/fanyi
。
daidaiershidi/git_test
daidaiershidi/Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
daidaiershidi/hugo-theme-stack
Card-style Hugo theme designed for bloggers
daidaiershidi/midjourney-proxy
代理 MidJourney 的discord频道，实现api形式调用AI绘图
daidaiershidi/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
daidaiershidi/mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
daidaiershidi/MMN
[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
daidaiershidi/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
daidaiershidi/niuke_pachong
daidaiershidi/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）
daidaiershidi/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.
daidaiershidi/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
daidaiershidi/pyskl
A toolbox for skeleton-based action recognition.
daidaiershidi/pytorch-project
daidaiershidi/recognize-anything
Code for the Recognize Anything Model (RAM) and Tag2Text Model
daidaiershidi/reprod_log
daidaiershidi/SinMDM
Single Motion Diffusion Model
daidaiershidi/T2M-GPT
(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”
daidaiershidi/TadTR
End-to-end Temporal Action Detection with Transformer. [Under review for a journal publication]
daidaiershidi/temp
1
daidaiershidi/timestamp_segmentation
daidaiershidi/ViGA-1
"Video Moment Retrieval from Text Queries via Single Frame Annotation" in SIGIR 2022.