Name: Weihang Tan
Type: User
Company: University of Minnesota Twin Cities
Bio: Postdoc, UMN | Ph.D., MS, BS, Clemson University |
Research interests: hardware security, VLSI design for cryptosystems (FHE, PQC, etc.)
Twitter: wtan_weihang
Location: Minneapolis, MN
Blog: https://weihangtan.github.io/
Weihang Tan's Projects
A modern hardware definition language and toolchain based on Python
CodeGeeX2: A More Powerful Multilingual Code Generation Model
Concrete: TFHE Compiler that converts python programs into FHE equivalent
Concrete Numpy is a python package that contains the tools data scientists need to compile various numpy functions into their Fully Homomorphic Encryption (FHE) equivalents. Concrete Numpy goes on top of the Concrete Library and its Compiler.
A framework for Privacy Preserving Machine Learning
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
Dafny is a verification-aware programming language
A digital logic designer and circuit simulator.
2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,**类,数学类,人物传记书籍
An FHE compiler for C++
为ChatGPT/GLM提供实用化交互界面,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&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chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。
Gain an introductory knowledge to the basics of SoC design and key skills required to implement a simple SoC on an FPGA, and write embedded programs targeted at the microprocessor to control the peripherals
An attempt at a new LWE estimator
Inference code for LLaMA models
Get up and running with Llama 2 and other large language models locally
This is the development repository for the OpenFHE library. The current pre-release version is v1.1.0 (released on July 28, 2023): clone it from the main branch. The current stable version is 1.0.4 (released on June 19, 2023): clone it from the stable branch.
Private AI Bootcamp was hosted by Microsoft in Redmond, WA on Dec 2nd-4th, 2019. This repository contains materials offered at the event, including lecture slides, demo codes, etc.
Private machine learning progress
PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.
This repository is a fork of Microsoft Research's homomorphic encryption implementation, the Simple Encrypted Arithmetic Library (SEAL). This code wraps the SEAL build in a docker container and provides Python API's to the encryption library.
👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code
统计学习方法习题解答,在线阅读地址:https://datawhalechina.github.io/statistical-learning-method-solutions-manual
A library for doing homomorphic encryption operations on tensors
TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.
Pytorch❤️ Keras 😋😋
Verilog PCI express components
(Under construction)