CrimsonScythe

CrimsonScythe's Stars

• bAcheron/data-analytics-consulting-handbook

  data analytics and data engineering consulting hand book

  218

• naserdamer/SMDD-Synthetic-Face-Morphing-Attack-Detection-Development-dataset

  Official repository of the paper Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors

  Language:Python194

• meriams/ML-ops_2

  Language:TypeScript2

• meriams/ML-ops

  Language:Python21

• theFool32/PPBA

  The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]

  Language:Python142

• eplatero97/mtcnn-pytorch-crop

  Cropping face region of an image using Multi-task Cascaded Convolutional Networks

  Language:Jupyter Notebook31

• wagoodman/dive

  A tool for exploring each layer in a docker image

  Language:Go45.4k1.7k

• hmdolatabadi/AdvFlow

  [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".

  Language:Python432

• t-maho/SurFree

  SurFree: a fast surrogate-free black-box attack

  Language:Python4010

• thisisalirah/GeoDA

  This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.

  Language:Python317

• machanic/SimulatorAttack

  The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"

  Language:Python5614

• Sizhe-Chen/DAmageNet

  A Universal Adversarial Dataset

  Language:Python337

• VITA-Group/SparseADV_Homotopy

  [ICML 2021 Long Talk] "Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm" by Mingkang Zhu, Tianlong Chen, Zhangyang Wang

  Language:Python93

• JHL-HUST/VT

  Enhancing the Transferability of Adversarial Attacks through Variance Tuning

  Language:Python8017

• sgmath12/efficient-decision-based-black-box-adversarial-attacks-on-face-recognition

  Language:Python285

• wandb/wandb

  The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

  Language:Python8.9k651

• jina-ai/jina

  ☁️ Build multimodal AI applications with cloud-native stack

  Language:Python20.9k2.2k

• itu-devops/lecture_notes

  Material for the elective "DevOps, Software Evolution and Software Maintenance" at IT University of Copenhagen, spring 2023

  Language:HTML71189

• hegdeSumukha/DTU_CTDS

  Language:Jupyter Notebook1

• vanderschaarlab/mlforhealthlabpub

  Machine Learning and Artificial Intelligence for Medicine.

  Language:Python416169

• BorealisAI/private-data-generation

  A toolbox for differentially private data generation

  Language:Python12730

• witnessmenow/ESP8266-IR-Remote-Example

  Language:Arduino11743

• sdv-dev/CTGAN

  Conditional GAN for generating synthetic tabular data.

  Language:Python1.2k279

• AMAI-GmbH/AI-Expert-Roadmap

  Roadmap to becoming an Artificial Intelligence Expert in 2022

  Language:JavaScript29k2.5k

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript291k38.5k

• DeepLearningDTU/02456-deep-learning-with-PyTorch

  Exercises and supplementary material for the deep learning course 02456 using PyTorch.

  Language:Jupyter Notebook303444

• ItzNotABug/HouseAds

  A simple Android library to cross promote your apps, websites!

  Language:Kotlin4428