Stars
Multi-proofs for Taiko. SNARKS, STARKS and Trusted Execution Enclave. Our previous ZK-EVM circuits are deprecated.
A curated list of resources for learning about Trusted Execution Environments (TEEs) in the context of blockchains.
A performant and modular zkVM framework built for customization and extensibility.
A curated list of zkVM, zero-knowledge virtual machine
The Nexus zkVM: The zero-knowledge virtual machine
The simplest and most extensible zkVM. Fast and fully open source from a16z crypto and friends. ⚡
SP1 is a zero‑knowledge virtual machine that proves the correct execution of programs compiled for the RISC-V architecture.
Nova: High-speed recursive zero-knowledge arguments from folding schemes
Python implementations of cryptographic attacks and utilities.
18.335 - Introduction to Numerical Methods course
VIP cheatsheets for Stanford's CS 229 Machine Learning
XSS平台 CTF工具 Web安全工具
A collection of various awesome lists for hackers, pentesters and security researchers
An Emacs configuration bundle with batteries included
A general collection of information, tools, and tips regarding CTFs and similar security competitions
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, se…
Needs to generate some texts to test if my GUI rendering codes good or not. so I made this.
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
🚁🚀基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。
Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)
😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现