Xinxinatg

2024-06-size

2s-AGCN-paddle

2sAGCN的paddlepaddle实现

ACSCP_cGAN

Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks

ActionAI

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

aescore

Learning Protein-Ligand Properties with Atomic Environment Vectors

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

bio_embeddings

Get protein embeddings from protein sequences

RBP-TSTL

skeleton-based-action-recognition

This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.

Yolov5_StrongSORT_OSNet

Xinxinatg/ACSCP_cGAN

Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks

Xinxinatg/AutoScale

An implementation of AutoScale localization-based method

Xinxinatg/bmsnn

Code for the paper Bayesian Multi Scale Neural Network for Crowd Counting

Xinxinatg/chess

Chinese chess with bot

Xinxinatg/CoDIR

Code for EMNLP 2020 paper CoDIR

Xinxinatg/css-ccnn

Implementation for "Completely Self-Supervised Crowd Counting via Distribution Matching" (http://arxiv.org/abs/2009.06420)

Xinxinatg/DeepM6A

Xinxinatg/DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

Xinxinatg/detection-2016-nipsws

Hierarchical Object Detection with Deep Reinforcement Learning

Xinxinatg/ee763

Drone Surveillance: Pedestrian Detection + neural network compression

Xinxinatg/EfficientObjectDetection

PyTorch Implementation of Efficient Object Detection in Large Images - [WACV20]

Xinxinatg/Fall-Detection

Xinxinatg/JunQi

四国军棋

Xinxinatg/LCA-AW-Lexical-Complexity-Analyzer-for-Academic-Writing

LCA-AW (Lexical Complexity Analyzer for Academic Writing, Nasseri and Lu, 2019); version 2.1. This code is a modified version of the LCA (lexical complexity analyzer, described in Lu, 2012). The modified version integrated the BAWE (British Academic Written English) corpus' word list, the bawe_list.txt, that is a list of most frequently-used academic writing words in linguistics-related disciplines and language studies. The BNC-British National Corpus (or an option to use ANC- American National Corpus,) and the BAWE word lists act as filters for calculating lexical sophistication indices (see Lu, 2012). LCA-AW, will be suitable for analysing lexical complexity of academic writing in linguistics-related disciplines.

Xinxinatg/libranet

Weighing Counts: Sequential Crowd Counting by Reinforcement Learning

Xinxinatg/Lstn_fdst_dataset

We collected 100 videos captured from 13 different scenes, and FDST dataset contains 150,000 frames, with a total of 394,081 annotated heads.

Xinxinatg/pytorch-ACSCP

Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018

Xinxinatg/pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

Xinxinatg/Real-Time-Action-Recognition

Real-time pose estimation and action recognition

Xinxinatg/Reinforcement-Learning-practice-zh

强化学习-中文笔记&资源-以python实例为主-由浅入深

Xinxinatg/Stand-Alone-Self-Attention

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

Xinxinatg/Video-Crowd-Counting

This repository mainly towards builds an end-2-end video dense crowd count network.

Xinxinatg/YOURLS-Forward-Slash-In-Urls

This is a YOURLS plugin to allow forward slashes in URL keywords.