BoomAmplifier

BoomAmplifier

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typst

A new markup-based typesetting system that is powerful and easy to learn.

Language:RustLicense:Apache-2.0Stargazers:31934Issues:0Issues:0

emacs-application-framework

EAF, an extensible framework that revolutionizes the graphical capabilities of Emacs

Language:PythonLicense:GPL-3.0Stargazers:3036Issues:0Issues:0

KeymouseGo

类似按键精灵的鼠标键盘录制和自动化操作 模拟点击和键入 | automate mouse clicks and keyboard input

Language:PythonLicense:GPL-2.0Stargazers:6729Issues:0Issues:0

ise14

EDA Tools: Xilinx ISE 14.7 Dockerfile

Language:PowerShellStargazers:19Issues:0Issues:0

research-method

论文写作与资料分享

Stargazers:2182Issues:0Issues:0

zotero-gpt

GPT Meet Zotero.

Language:TypeScriptLicense:AGPL-3.0Stargazers:4681Issues:0Issues:0

Inkar-Suki

聊天Bot · 基于Nonebot2 · Onebot v11 · 欢迎使用

Language:PythonLicense:AGPL-3.0Stargazers:123Issues:0Issues:0

Knowledge-Graph-based-QnA

Developing a Knowledge Graph-based Question and Answering program to extract information from huge dataset

Language:PythonLicense:MITStargazers:98Issues:0Issues:0

Question-Answering

Question Answering over Knowledge Bases

Stargazers:28Issues:0Issues:0

pygaggle

a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:333Issues:0Issues:0

-Fake-News-Detection-

Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and organisation. Due to the dissemination of fake news, there is a need for computational methods to detect them. Fake news detection aims to help users to expose varieties of fabricated news. To achieve this goal, first we have taken the datasets which contains both fake and real news and conducted various experiments to organize fake news detector. We used natural processing, machine learning and deep learning techniques to classify the datasets. We yielded a comprehensive audit of detecting fake news by including fake news categorization, existing algorithms from machine learning techniques. In this project, we explored different machine learning models like Naïve Bayes, K nearest neighbors, decision tree, random forest and deep learning networks like Shallow Convolutional Neural Networks (CNN), Deep Convolutional Neural Network (VDCNN), Long Short-Term Memory Network (LSTM), Gated Recurrent Unit Network (GRU), Combination of Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network with Gated Recurrent Unit (CNN-LSTM).

Language:Jupyter NotebookLicense:MITStargazers:29Issues:0Issues:0

state-of-the-art-shitcode

💩State-of-the-art shitcode principles your project should follow to call it a proper shitcode

License:MITStargazers:5482Issues:0Issues:0

SelfDrivingCarsControlDesign

Self Driving Cars Longitudinal and Lateral Control Design

Language:PythonStargazers:117Issues:0Issues:0

scikit-fuzzy

Fuzzy Logic SciKit (Toolkit for SciPy)

Language:PythonLicense:NOASSERTIONStargazers:782Issues:0Issues:0

rnif2ki

Orcad to KiCAD netlist converter

Language:CLicense:GPL-2.0Stargazers:9Issues:0Issues:0

altium2kicad

Altium to KiCad converter for PCB and schematics

Language:PerlLicense:GPL-2.0Stargazers:843Issues:0Issues:0

HWIDGEN

HWIDGEN

Language:AutoHotkeyStargazers:718Issues:0Issues:0
Language:Vim scriptStargazers:2Issues:0Issues:0

PyQt5

《PyQt5快速开发与实战》配套代码

Language:HTMLStargazers:2285Issues:0Issues:0

wechat_enter

微信企业号开发Python SDK

Language:PythonStargazers:6Issues:0Issues:0

dingtalk-python

钉钉第三方SDK,Python版本

Language:PythonLicense:Apache-2.0Stargazers:82Issues:0Issues:0

django-multiselectfield

A Multiple Choice model field

Language:PythonLicense:LGPL-3.0Stargazers:447Issues:0Issues:0

BLAKE2

BLAKE2 official implementations

Language:CLicense:CC0-1.0Stargazers:647Issues:0Issues:0

blake2

Hardware implementation of the blake2 hash function

Language:VerilogLicense:BSD-2-ClauseStargazers:24Issues:0Issues:0