Skip to content
View wyunhao's full-sized avatar

Organizations

@ObliviousMessageRetrieval

Block or report wyunhao

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Showing results

C library for zkSNARKs

C 1,812 578 Updated Feb 23, 2024

An implementation of the Rinocchio protocol (SNARK for Ring Arithmetic) over SEAL FHE ring elements

C 31 2 Updated Dec 4, 2023

A library for lattice-based multiparty homomorphic encryption in Go

Go 1,184 176 Updated Aug 6, 2024

An attempt at a new LWE estimator

Python 212 49 Updated Aug 27, 2024

TLS/SSL and crypto library

C 25,406 10,053 Updated Sep 13, 2024
C 258 51 Updated Mar 12, 2024

🔒 Don't use this repo, use the new monorepo instead:

C 499 200 Updated May 23, 2020

Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

C 3,523 704 Updated Jul 11, 2024

Solution for Quantum Computation and Quantum Information by Nielsen and Chuang

TeX 252 66 Updated Jan 7, 2022

Linux kernel source tree

C 178,308 53,197 Updated Sep 13, 2024

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Python 1,602 485 Updated Apr 1, 2024

Implementation of the Option-Critic Architecture on the Atari (ALE) environment

Python 167 50 Updated Sep 21, 2017

A Tensorflow implementation of the Option-Critic Architecture

Python 71 15 Updated Jun 1, 2017

Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options

Python 42 6 Updated Dec 10, 2021

A library of reinforcement learning components and agents

Python 3,468 426 Updated Aug 26, 2024

A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"

Python 49 10 Updated Oct 9, 2020