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alphafold

Open source code for AlphaFold.

autohotkey

AutoHotkey - macro-creation and automation-oriented scripting utility for Windows.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

bingo

Bingo，一个让你呼吸顺畅 New Bing。

captura

Capture Screen, Audio, Cursor, Mouse Clicks and Keystrokes

cdhit

Automatically exported from code.google.com/p/cdhit

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

chatgpt_

Reverse engineered ChatGPT API

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

deeptools

Tools to process and analyze deep sequencing data.

dnspy

.NET debugger and assembly editor

easymicrobiome

easymicrobiomer

Using R language in microbiome analysis

faceswap

Deepfakes Software For All

foam

A personal knowledge management and sharing system for VSCode

focalboard

Focalboard is an open source, self-hosted alternative to Trello, Notion, and Asana.

full-stack-fastapi-template

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

gephi

Gephi - The Open Graph Viz Platform

google-access-helper

谷歌访问助手破解版

gpt-pilot

The first real AI developer

grok-1

Grok open release

hans_rosling_bubble

Create Hans Rosling bubble chart in one command in R

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

igv

Integrative Genomics Viewer. Fast, efficient, scalable visualization tool for genomics data and annotations

igv.js

Embeddable genomic visualization component based on the Integrative Genomics Viewer

joplin

Joplin - the secure note taking and to-do app with synchronisation capabilities for Windows, macOS, Linux, Android and iOS.

mastodon

Your self-hosted, globally interconnected microblogging community

mediacrawler

mediacrawler_v0

Forked from NanmiCoder/MediaCrawler

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.