dumpmemory,github

actions-deploy-gist

📌 Deploy file to Github Gist

actions-openwrt

🚀Autobuild每3天凌晨四点自动编译，x86、极路由B70、小米AX6等固件，SSRPlus+、Passwall、SmartDNS、jd签到、openclash、AdGuardHome、Uhttpd、Socat等！自行研究！

actions-openwrt-build

actions-stats

This silly script can quickly give you a view on which repo is using a lot of GitHub Actions minutes.

actions_rclone

Actions for rclone drive.

active-prompt

Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"

active-testing

Active and Sample-Efficient Model Evaluation

active_learning

Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.

adamp

AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

adan

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

adblock-acceleration

Accelerated subscription for international/China region ad filtering rules（国际/**地区广告过滤规则的加速订阅）

adblock4limbo

毒奶去广告计划（稳定版）For Quantumult X ；如去奈菲影视/低端影视/片库网/Pornhub/Jable/Netflav/HPjav等视频网站广告或其他ACG网站广告；

adguard-exporter

Adguard exporter based on eko/pihole-exporter

adguardhome

Network-wide ads & trackers blocking DNS server

adguardhomerules

高达百万级规则！由我原创&整理的 AdGuardHomeRules ADH广告拦截过滤规则！打造全网最强最全规则集

advanced-clash

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial-attacks-pytorch

A pytorch implementations of Adversarial attacks and utils

aeads

Authenticated Encryption with Associated Data Algorithms: high-level encryption ciphers

aft-pytorch

Unofficial PyTorch implementation of the Attention Free Transformer by Apple Inc.

age

A simple, modern and secure encryption tool (and Go library) with small explicit keys, no config options, and UNIX-style composability.

agentchain

Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks

agentverse

🤖 AgentVerse 🪐 provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs).