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gcwk's Projects

bpnn icon bpnn

create an simple BP neural network

bulbea icon bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

cool-admin-midway icon cool-admin-midway

🔥 cool-admin(midway版)一个很酷的后台权限管理框架,模块化、插件化、CRUD极速开发,永久开源免费,基于midway.js 3.x、typescript、typeorm、mysql、jwt、vue3、vite、element-ui等构建

cool-admin-vue icon cool-admin-vue

🔥 cool-admin一个很酷的后台权限管理框架,模块化、插件化、CRUD极速开发,永久开源免费,基于midway.js 3.0、typeorm、mysql、jwt、element-ui、vuex、vue-router、vue等构建

coordtransform_py icon coordtransform_py

提供百度坐标系(bd-09)、火星坐标系(国测局坐标系、gcj02)、WGS84坐标系直接的坐标互转,也提供了解析高德地址的方法的python版本

deep_trader icon deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeplearning4j icon deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

gdlnotes icon gdlnotes

Google Deep Learning Notes(TensorFlow教程)

leeml-notes icon leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

lstm_learn icon lstm_learn

a implement of LSTM using Keras for time series prediction regression problem

map-reduced-ann icon map-reduced-ann

Implementation of an artificial neural network parallelized in Spark

mapmatching icon mapmatching

腾云阁高精度车辆追踪算法大赛。给定地图数据和汽车的gps定位数据,通过地图匹配算法得出汽车行驶过了哪些道路

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

pointinpolygon_py icon pointinpolygon_py

Improved agorithm for determining the inclusion of a point P in a 2D planar polygon. Python implementation.

pylatex icon pylatex

A project that has excellent code examples for creating letterheads and other PDF documents using data from sources like Database,CSV etc.

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. An increasing number of SOTA Quant research works/papers are released in Qlib.

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