koukyosyumei Goto Github PK

aijack

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

attack_splitnn

reveal the vulnerabilities of SplitNN

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

bxjscls

LaTeX jsclasses document classes adapted to any engines

ctfwriteups

dl_from_scratch

ecofuzz

EcoFuzz-An adaptive energy-saving greybox fuzzer

eliminating-label-leakage-in-tree-based-vertical-federated-learning

Code for "Eliminating Label Leakage in Tree-based Vertical Federated Learning"

glow

Compiler for Neural Network hardware accelerators

gymbo

gradient-based symbolic execution engine implemented from scratch

haskell_blackjack

blackjack_app_with_haskell

interpret

Fit interpretable models. Explain blackbox machine learning.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

koukyosyumei

koukyosyumeiresume

Minimalist Hugo template for academic websites

machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

material-dashboard-django

Material Dashboard - Django Template | Creative-Tim

minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

ml_from_scratch

implement machine learning models from scratch

myabstractor

Implementation of "Rosendahl, Mads. Introduction to abstract interpretation. Computer Science University of Copenhagen (1995)".

mychecker

Model checker implemented from scratch

mycompiler

Toy compiler from a simple language to LLVM-IR implemented from scratch in Haskell

mydisassembler

myoptimizer

Implementations of popular optimization & search algorithms

myplanner

PDDL Solver implemented in C++ from scratch

naist-fedml-experiments

nebula

A distributed, fast open-source graph database featuring horizontal scalability and high availability

networkx

Network Analysis in Python

neupass

neural network - based probabilistic assertions

opacus

Training PyTorch models with differential privacy