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anygpt

Code for "AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling"

awesome-active-learning

A curated list of awesome Active Learning

awesome-knowledge-graph

整理知识图谱相关学习资料

awesome-ml-sp-papers

A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

backdoor-learning-resources

A list of backdoor learning resources

backdoorbench

backdoorbox

badencoder

badnets

Implementation of badnets on CIFAR10 and MNIST

badnets-pytorch

Simple PyTorch implementations of Badnets on MNIST and CIFAR10.

clean_label_textual_backdoor_attack

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55个国家的300所大学用于教学。

embmarker

Code and data for our paper "Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark" in ACL 2023.

gpt_api_free

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

iamge_design

version1.0.0

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

invisible_backdoor_attacks

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

llm_interview_note

大模型面试题及答案，大模型八股文

naturalcc

NaturalCC: An Open-Source Toolkit for Code Intelligence

oi-wiki

:star2: Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）

one-to-one-websockets-chat

Building Persistable One-to-One Chat Using Spring Boot and WebSockets

openbackdoor

An open-source toolkit for textual backdoor attack and defense

opendelta

A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

openrlhf

A Ray-based High-performance RLHF framework (Support 70B+ full tuning & LoRA & Mixtral & KTO)

paper-reading

深度学习经典、新论文逐段精读

refool

sos

Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)

speechgpt

SpeechGPT Series: Speech Large Language Models

strip

This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"