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My Python scripts to make high-quality figures for publications in top AI conferences and journals.
This repository automatically merges pull requests without conflicts. All text is subject to edits via PR and shouldn't be trusted.
A public gallery of animated pets for Codex, Claude Code, DeepSeek Harness, Hermes, OpenCode, Gemini CLI, and more.
📚 Freely available programming books
The BusTub Relational Database Management System (Educational)
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Python libraries for Google Colaboratory
SaTML'23 paper "Backdoor Attacks on Time Series: A Generative Approach" by Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, and James Bailey.
A lightweight, cross-platform remote desktop software with support for Web Client access | 一款支持 Web 客户端访问的轻量级跨平台远程桌面软件。
Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep N 8000 eural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.
Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Automatic Video Generation from Scientific Papers
Efficient and easy multi-instance LLM serving
Burner X - 浏览器即开即用,AI文献识别、文档批量翻译、阅读与智能分析工具 丨BYOK
Official implementation of ImageCritic (CVPR 2026)
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
State-of-the-art LLM compression, built for production inference with vLLM
A high-throughput and memory-efficient inference and serving engine for LLMs
🥢像老乡鸡🐔那样做饭。已添加2026年发布的《老乡鸡菜品溯源报告 2.0中新出现的菜品。主要部分于2024年完工,非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》,并做归纳、编辑与整理。CookLikeHOC.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
A challenge to explore adversarial robustness of neural networks on CIFAR10.