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auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-lowcode

国内低代码平台从业者交流

chinese-independent-developer

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻**独立开发者项目列表 -- 分享大家都在做什么

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

faker

Faker is a Python package that generates fake data for you.

fastchat

An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.

fijiyama

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目

imagej

Public domain software for processing and analyzing scientific images – a.k.a. ImageJ 1.x

labgraph

LabGraph is a Python framework for rapidly prototyping experimental systems for real-time streaming applications. It is particularly well-suited to real-time neuroscience, physiology and psychology experiments.

latexlive

LateX公式编辑器-妈叔出品

learning-sicp

MIT视频公开课《计算机程序的构造和解释》中文化项目及课程学习资料搜集。

lightpipes

LightPipes for Python, "Pure Python version"

lm

LaTeX source code for introductory physics textbooks

matplotlib

matplotlib: plotting with Python

neurdicom

RESTful PACS server with plugins

nf-vectra-to-htan

A NextFlow workflow to prepare Vectra mIF qptiff files for the HTAN DCC

ome_convert_deid

Convert from qptiff (and scn?) to ome tiff and remove some metadata.

openpromptstudio

🥣 AIGC 提示词可视化编辑器 | OPS | Open Prompt Studio

opticspy

python optics module

particle-life

A simple program to simulate artificial life using attraction/reuplsion forces between many particles

pocketlcd

带充电宝功能的便携显示器

privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

pyclearvolume

python bindings to the ClearVolume project that enables serving numpy data from within python to the renderer.

python

最良心的 Python 教程：

sam-med2d

Official implementation of SAM-Med2D

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.

sfda-cellseg

Code of the paper: Towards Multi-Center Cross-Domain Histopathological Cell Segmentation via Target-Specific Finetuning.