zazuo's Stars
wxpusher/wxpusher-sdk-python
微信消息实时推送服务[WxPusher]的Python版本sdk，可以通过API实时给个人微信推送消息。wechat pusher.
shidenggui/easyquotation
实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情
ultralytics/ultralytics
Ultralytics YOLO11 🚀
Vespa314/chan.py
开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视化绘图，多种数据接入，策略开发，交易系统对接；
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
vnpy/vnpy
基于Python的开源量化交易平台开发框架
PaddlePaddle/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
ankush-me/SynthText
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
sty945/bank_interview
:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
gaolinjie/awesome-recommender-systems
A curated list of awesome resources about Recommender Systems.
NirantK/NLP_Quickbook
NLP in Python with Deep Learning
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
changgyhub/leetcode_101
LeetCode 101：力扣刷题指南
geopandas/geopandas
Python tools for geographic data
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
geopy/geopy
Geocoding library for Python.
zzsza/Awesome-Mobility-Machine-Learning-Contents
Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
microsoft/calculator
Windows Calculator: A simple yet powerful calculator that ships with Windows
tidwall/tile38
Real-time Geospatial and Geofencing
Eilene/spatio-temporal-paper-list
Spatio-temporal modeling 论文列表（主要是graph convolution相关)
nzc/dnn_ctr
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
xitu/tensorflow-docs
TensorFlow 最新官方文档中文版
palash1992/GEM
phanein/deepwalk
DeepWalk - Deep Learning for Graphs
albanie/convnet-burden
Memory consumption and FLOP count estimates for convnets
neozhaoliang/pywonderland
A tour in the wonderland of math with python.
digoal/blog
Opensource,Database,AI,Business,Minds. git clone --depth 1 https://github.com/digoal/blog
grahamjenson/list_of_recommender_systems
A List of Recommender Systems and Resources