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760chong's Projects

infospider icon infospider

INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰,旨在安全快捷的帮助用户拿回自己的数据,工具代码开源,流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、**移动、**联通、**电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源**博客、简书。

itchat icon itchat

A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信,三十行即可自定义个人号机器人。

leetcodeanimation icon leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

libfacedetection icon libfacedetection

A binary library for face detection in images. You can use it free of charge with any purpose.

lob icon lob

Benchmark Dataset of Limit Order Book in China Markets

mlc-llm icon mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

mmaction icon mmaction

An open-source toolbox for action understanding based on PyTorch

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

okex-websocket icon okex-websocket

A python implemented websocket API demo for OKEx automatic trading.

ontology icon ontology

The Audio Set Ontology aims to provide a comprehensive set of categories to describe sound events.

pythonsniperbot icon pythonsniperbot

Sniper Bot that waits for a specific pair to be created, once detected bot buys token for the amount specified

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytudes icon pytudes

Python programs to practice or demonstrate skills.

qlib icon qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

quant-strategy icon quant-strategy

基于FMZ平台和python 目前已复现4个策略 自己开发了1个基于HMM的策略,趋势预测正确率可达85%

tech_aarticle icon tech_aarticle

深度学习各种模型实战-深度学习模型在各大公司实际生产环境的应用讲解文章,涉及到搜索(Query理解,召回,排序)/推荐(召回,排序)/自然语言处理(文本分类,文本相似度判定,文本匹配,文本生成,命名体识别)

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