qq332982511 Goto Github PK

aaamlp-cn

Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/

anakin

angr

The next-generation binary analysis platform from UC Santa Barbara's Seclab!

angr-dev

Some helper scripts to set up an environment for angr development.

angr-doc

Documentation for the angr suite

anti-anti-spider

越来越多的网站具有反爬虫特性，有的用图片隐藏关键数据，有的使用反人类的验证码，建立反反爬虫的代码仓库，通过与不同特性的网站做斗争（无恶意）提高技术。（欢迎提交难以采集的网站）（因工作原因去TX写验证码了，项目暂停）

antkillerfarm.github.com

aparapi

archinfo

An x86 Intel processor information gatherer

astroquery

Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8

auto-gpt

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

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

beegodockerfile

bert-pytorch-chinese-textclassification

Pytorch Bert Finetune in Chinese Text Classification

caffe

Caffe: a fast open framework for deep learning.

chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

chatgpt-web

用 Express 和 Vue3 搭建的 ChatGPT 演示网页

chatgptbook

《ChatGPT原理与实战：大型语言模型的算法、技术和私有化》

cil

C Intermediate Language

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

coding-interview-university

A complete computer science study plan to become a software engineer.

colab-connect

Connect to Google Colab VM from your local VSCode

cores-swerv

SweRV EH1 core

cuassembler

An unofficial cuda assembler.

cuda_hook

Hooked CUDA-related dynamic libraries by using automated code generation tools.

cutt

CUDA Tensor Transpose (cuTT) library

cve-2021-3156

PoC for CVE-2021-3156 (sudo heap overflow)

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06