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Beijing Institute of Technology
Stars
A curated list of Large Language Model (LLM) Interpretability resources.
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
A lightweight and high-performance reverse proxy for NAT traversal, written in Rust. An alternative to frp and ngrok.
The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk on RAG.
ns.py: a Pythonic Discrete-Event Network Simulator
🌈 An enterprise-class UI components based on Ant Design and Vue. 🐜
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
Generating handwritten Chinese characters using CycleGAN
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中
Create web-based user interfaces with Python. The nice way.
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
A playbook for systematically maximizing the performance of deep learning models.
這是一個遊戲AI競賽的框架,依照此框架所開發的遊戲,可以透過AI來玩遊戲,並進行AI競賽。
[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT
Tips for Writing a Research Paper using LaTeX
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
Must-read Papers on Textual Adversarial Attack and Defense
An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.
Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)