greatballacuda Goto Github PK

996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

baiduyun

bitmex-api-python

A lightweight script to connect BitMEX REST API.

forpg

github

Github Acceleration Best Practices

github-markdown-toc

Easy TOC creation for GitHub README.md

google-mirrors

谷歌、维基百科镜像2019.8最新

gpt2

An implementation of training for GPT2, supports TPUs

high-speed-downloader

百度网盘不限速下载 支持Windows和Mac 2018年1月16日更新

issuebackup

备份github blog issue 内容

lammps-st3

LAMMPS snippets for Sublime Text 3

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）

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

project-hover

气垫船计划——免费、去中心化的北京大学往年题资料库

pvt_spline

python-100-days

Python - 100天从新手到大师

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

read-matrix

Reviews to The Matrix series.

readme

README文件语法解读，即Github Flavored Markdown语法介绍

roboboy

A personal wiki for Android with Git synchronization

selpythonlibs

A motley collection of importable python library files I have created in the course of my research. At present, some files assume they're in ~/lib and are imported from there.

smeditor

✎ 基于 Vue.js 2.0+ 石墨文档样式的富文本编辑器组件

solid

🎯 A comprehensive gradient-free optimization framework written in Python

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.