LinJia21
I am a grade 2021 undergraduate from Sun Yat-sen University, and I hope to learn code in depth on github platform.
Sun Yat-sen University135 XinGangxi Road, Haizhu District, Guangzhou, Guangzhou (South, North and East Campus)/ Zhuhai (Zhuhai Campus)/ Shenzhen (Shenzhen Campus), Guangdong, 510275, People's Republic of China
Pinned Repositories
Action-Recognition-CNN-LSTM
Action recognition tutorial using UCF-101 dataset.
ai_quant_trade
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
aLSTMs
Codes for paper of "Attention-based LSTM with Semantic Consistency for Videos Captioning "
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Auto-Photoshop-StableDiffusion-Plugin
A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using Automatic1111-sd-webui as a backend.
Brain-Cog
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its ev
chatgpt-resource
openai notionai chatgpt 免费chatgpt资源整理 MidJourney关键词 prompt chatgpt代理配置
deep-learning-from-scratch
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
DeepLabCut-Workshop-Materials
Workshop material for using DeepLabCut
expert_readed_books
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍
LinJia21's Repositories
LinJia21/Action-Recognition-CNN-LSTM
Action recognition tutorial using UCF-101 dataset.
LinJia21/ai_quant_trade
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
LinJia21/aLSTMs
Codes for paper of "Attention-based LSTM with Semantic Consistency for Videos Captioning "
LinJia21/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
LinJia21/Auto-Photoshop-StableDiffusion-Plugin
A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using Automatic1111-sd-webui as a backend.
LinJia21/Brain-Cog
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its ev
LinJia21/chatgpt-resource
openai notionai chatgpt 免费chatgpt资源整理 MidJourney关键词 prompt chatgpt代理配置
LinJia21/deep-learning-from-scratch
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
LinJia21/DeepLabCut-Workshop-Materials
Workshop material for using DeepLabCut
LinJia21/expert_readed_books
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍
LinJia21/FileCentipede
Cross-platform internet upload/download manager for HTTP(S), FTP(S), SSH, magnet-link, BitTorrent, m3u8, ed2k, and online videos. WebDAV client, FTP client, SSH client.
LinJia21/Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
LinJia21/HOReID
[CVPR2020] High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
LinJia21/Human-Activity-Recognition-LSTM-CNN
Human Activity Recognition using LSTM-CNN model on raw data set.
LinJia21/LKY_OfficeTools
一键自动化 下载、安装、激活 Office 的利器。
LinJia21/NotionAI-Discord-Bot
This is a repository that allows you to integrate NotionAI into Discord.
LinJia21/PotplayerPanVideoSV
使用PotPlayer播放迅雷云盘、阿里云盘中的视频，支持在PotPlayer选择清晰度（原画，1080p，720p……）、从opensubtitles.com获取英文字幕。
LinJia21/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
LinJia21/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.