ritian4399

gzhu-thesis

广州大学研究生学位论文非官方模板

CDFSL-ATA

[IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

CoNe

LightningFSL

LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.

balanced-loss

Easy to use class balanced cross entropy and focal loss implementation for Pytorch

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Information-Security-Engineer

软考-信息安全工程师资料整理

SemanticPrompt

CloserLookAgainFewShot

[ICML 2023] A Closer Look at Few-shot Classification Again

protoLP

CTIMD

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

image_tabular

Integrate image and tabular data for deep learning

Read_Bert_Code

Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子

Random-Transformer-Forest

TableGPT-techreport

The report of a fine-tuned GPT model unifying tables, natural language, and commands.

IGTD

Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks

binary2strings

Python module to extract Ascii, Utf8, and Unicode strings from binary data. Lightning fast wrapper around c++ compiled code.

jekyll-theme-yat

🎨 Yet another theme for elegant writers with modern flat style and beautiful night/dark mode.

UMaize

A Solarized style Jekyll theme

embersim-databank

Code for the paper "EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis"

typora_plugin

Typora plugin. Feature enhancement tool | Typora 插件，功能增强工具

SecureBert_Malware-Classification

Bert-malware-classification

使用Bert做embedding，结合BiLSTM做恶意软件的多分类任务

Detect-It-Easy

Program for determining types of files for Windows, Linux and MacOS.

BODMAS

Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.

MOTIF

SOREL-20M

Sophos-ReversingLabs 20 million sample dataset

Awesome-LLM-Learning

Learning Large Language Model (LLM）(大语言模型学习)

malicious_domains_dga_detection

The repository is created in pursuit of detecting malware-based domain names that were generated using DGA.