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Andy's Projects

awesome-threat-modelling icon awesome-threat-modelling

A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.

bevy icon bevy

A refreshingly simple data-driven game engine built in Rust

english-words icon english-words

:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion

firework_simulator icon firework_simulator

烟花模拟器,一个模拟放烟花的网页,基于Firework Simulator v2的二次修改,我仅作翻译处理以及其他优化

fsae icon fsae

Monitors changes for Filesystem.

full-stack-fastapi-template icon full-stack-fastapi-template

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

gemma.cpp icon gemma.cpp

lightweight, standalone C++ inference engine for Google's Gemma models.

ggml icon ggml

Tensor library for machine learning

ioq3 icon ioq3

The ioquake3 community effort to continue supporting/developing id's Quake III Arena

leetcode-go icon leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

llama2.c icon llama2.c

Inference Llama 2 in one file of pure C

nerd-fonts icon nerd-fonts

Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more

pytudes icon pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

redis icon redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

reference icon reference

为开发人员分享快速参考备忘清单(速查表)

rq icon rq

Simple job queues for Python

sds icon sds

Simple Dynamic Strings library for C

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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