hanboa Goto Github PK

aaai2014

ai_project_2013

algorithms

This repo contains the model architectures to be used in the OpenFL backend.

analysisbysynthesis

Adversarially Robust Neural Network on MNIST.

confidential-computing-zoo

Confidential Computing Zoo provides confidential computing solutions based on Intel SGX, TDX, HEXL, etc. technologies.

data-science-projects

Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources. Dive in to discover insights and techniques in data science. Reach out for collaborations and feedback.

deep_mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

differentiable-jpeg

Code for "JPEG-resistant Adversarial Images"

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

git_try

gradient-free-optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical search spaces.

hypergan

Generative Model for Neural Networks

imagenet-adversarial-training

Feature Denoising for Improving Adversarial Robustness

ir_pa1

short retrieval system

kaapana

Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

kaggle

malware-detection-using-two-dimensional-binary-program-features

Documentation, source code, and data links for Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features publication

milewski-ctfp-pdf

Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source

models

Models and examples built with TensorFlow

paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python-patterns

A collection of design patterns/idioms in Python

reinforcement-learning-on-torcs

A Self driving car agent developed using Reinforcement learning Actor Critic Algorithm on TORCS Simulator.

scikit-learn

scikit-learn: machine learning in Python

sdcore-adapter

Adapter for receiving gNMI messages from aether-config and configuring sd-core components, e.g. SPGW

smoothing

Provable adversarial robustness at ImageNet scale

sublime2_xelatex

settings for using sublime2 as an editor of xelatex

transferability-advdnn-pub

Public repo for transferability ICLR 2017 paper

waqnjs

Created with StackBlitz ⚡️

waqnjs-ctsqcm

Created with StackBlitz ⚡️