pinocchio1975

pinocchio1975

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tensorflow

An Open Source Machine Learning Framework for Everyone

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thingsboard

Open-source IoT Platform - Device management, data collection, processing and visualization.

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nuklear

A single-header ANSI C gui library

Fuck-XueXiQiangGuo

学习强国 懒人刷分工具 自动学习

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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sklearn-pandas

Pandas integration with sklearn

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fe4ml-zh

:book: [译] 面向机器学习的特征工程

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EasyFlash

Lightweight IoT device information storage solution: KV/IAP/LOG. | 轻量级物联网设备信息存储方案:参数存储、在线升级及日志存储 ,全新一代版本请移步至 https://github.com/armink/FlashDB

mlens

ML-Ensemble – high performance ensemble learning

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MicroPython_ESP32_psRAM_LoBo

MicroPython for ESP32 with psRAM support

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arduino-lmic

LoraWAN-MAC-in-C library, adapted to run under the Arduino environment

Oldx_fly_controller

多旋翼开源飞控 更新中 请Star支持一下

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lora-mesh

LoRa mesh networking

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jled

Non-blocking LED controlling library for Arduino and friends.

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arduino-lorawan

User-friendly library for using arduino-lmic with The Things Network and other LoRaWAN® networks

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art-6lowpan

ART-6LoWPAN project source code, design, tutorial and others docs | ART-6LoWPAN 开源项目的源码、设计、教程及其他文档

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Introduction-to-Data-Science

本Repository为**人民大学朝乐门老师开源课程——《数据科学导论》

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stacked_generalization

Python implementation of stacked generalization classifier. Plays nice with sklearn.

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los

Los是一个c/c++语言编译型的虚拟机。它使用llvm/clang作为其前端,losld做后端对源代码进行编译,生成los指令文件。Los is a c/c++-compiled virtual machine. It uses llvm/clang as its front end, losld does the backend to compile the source code, and generates the los directive file.

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face_detect_open

A Voila-Jones face detector hardware implementation

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Titanic_Voting_Classifier

Titanic Survival Prediction

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ChinaUnicom_BigData_Competition

2018年**联通大数据创新大赛:高端用户离网预测/用户换机时间预测全套代码

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UtoPi

LoRa based mesh network for disaster data aggregation.

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Src2

Source files for CubeMX based LoRa Mesh

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stacking_with_sklearn

Stacking diverse models to increase predictive power

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sklearn-stacking

Sklearn compatible implementation of a stacking model.

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