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GitHub 每日热门项目(2021/3/8)

Submitted by yiyu in Tech

dolthub/dolt

Dolt – It's Git for Data

sherlock-project/sherlock

🔎 Hunt down social media accounts by username across social networks

nushell/nushell

A new type of shell

getzola/zola

A fast static site generator in a single binary with everything built-in. https://www.getzola.org

SerenityOS/serenity

The Serenity Operating System 🐞

openai/CLIP

Contrastive Language-Image Pretraining

nasa/fprime

F' - A flight software and embedded systems framework

ziglang/zig

General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.

TheAlgorithms/Javascript

A repository for All algorithms implemented in Javascript (for educational purposes only)

microsoft/CSS-Exchange

Exchange Server support tools and scripts

josephmisiti/awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

thunlp/GNNPapers

Must-read papers on graph neural networks (GNN)

threat9/routersploit

Exploitation Framework for Embedded Devices

visenger/awesome-mlops

A curated list of references for MLOps

ossu/computer-science

🎓 Path to a free self-taught education in Computer Science!

qmk/qmk_firmware

Open-source keyboard firmware for Atmel AVR and Arm USB families

brillout/awesome-react-components

Curated List of React Components & Libraries.

torvalds/linux

Linux kernel source tree

flutter/flutter

Flutter makes it easy and fast to build beautiful apps for mobile and beyond.

nodegui/react-nodegui

Build performant, native and cross-platform desktop applications with native React + powerful CSS like styling.🚀

diasurgical/devilutionX

Diablo build for modern operating systems

projectdiscovery/nuclei-templates

Community curated list of templates for the nuclei engine to find a security vulnerability in the application.

abuanwar072/Chat-Messaging-App-Light-and-Dark-Theme

monero-project/monero

Monero: the secure, private, untraceable cryptocurrency

ageron/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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