xinihe Goto Github PK

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admin

Administrative work

awesome-blockchain-cn

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

awesome-markdown

A collection of awesome markdown goodies (libraries, services, editors, tools, cheatsheets, etc.)

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

baidupost

百度贴吧帖子列表回复文字，图片信息

bitfinex_api

Python client for the Bitfinex REST API

bullshitgenerator

Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.

chatgpt-api-youtube

3 ChatGPT Api Apps

chatgpt-on-wechat

基于大模型搭建的微信聊天机器人，同时支持微信、企业微信、公众号、飞书、钉钉接入，可选择GPT3.5/GPT4.0/Claude/文心一言/讯飞星火/通义千问/Gemini/GLM-4/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

cheatsheets

Official Matplotlib cheat sheets

convnet

Convolutional Neural Networks for Matlab for classification and segmentation, including Invariang Backpropagation (IBP) and Adversarial Training (AT) algorithms. Trained on GPU, require cuDNN v5.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

covid-19

Novel Coronavirus 2019 time series data on cases

cs231n.github.io

Public facing notes page

cufflinks

Productivity Tools for Plotly + Pandas

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

data-science-notes

数据科学的笔记以及资料搜集

dblp-python

A simple Python wrapper around the DBLP API, currently supporting author search and author and publication lookup.

deep-learning-from-scratch

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

deep-learning-from-scratch-1

《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》

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

devilyuan

DevilYuan可视化股票量化系统，支持选股，历史数据自动下载，策略回测及参数优化，实盘交易和常用的统计功能

digital-asset-impact

dxy-2019-ncov-data

2019新型冠状病毒疫情时间序列数据仓库

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

estimatevaluedata

基金估值表，深度分析

fake-useragent

up to date simple useragent faker with real world database

fate

An Industrial Grade Federated Learning Framework