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cade

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

chatgpt_academic

为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古等。

chinese-llama-alpaca-2

中文LLaMA-2 & Alpaca-2大模型二期项目 + 16K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs, including 16K long context models)

cocosketch

contextual-outlier-interpreter

cs234-stanford

This repository contains the assignments and the final project of CS234, reinforcement learning.

distributed-pcap-dataset-processing

dl-project

ebsnn

et-bert

The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.

fault-intelligent-diagnosis

flowprint

fs-net

fs-net-tensorflow2x

A tensorflow2x implementation of FS-Net

glm

GLM (General Language Model)

gpt-2-pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

graphucb_anomalydetection

Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks

llama-network

llama2-chinese

Llama中文社区，最好的中文Llama大模型，完全开源可商用

lookout

Beyond Outlier Detection: LookOut for Pictorial Explanation

m3f

megatron-lm

Ongoing research training transformer models at scale

mini-flowpic

netshare

(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare

network-traffic-transformer

Network Traffic Transformer to learn network dynamics from packet traces. Learn fundamental dynamics with pre-training and fine-tune to multiple applications.

one-card-ride-simulation-system

Object oriented programming assignment of XDU realized by Qt

paper-writing-tips

Paper Writing Tips

pean

code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification

rfcnlp

Open-source code for RFCNLP paper.

sdm

Codes and dataset (iSAID-5i) for Scale-aware Detailed Matching for Few-Shot Aerial Image Semantic Segmentation