Mishuni's Stars
Pushkar-v/Generating-Synthetic-Data-using-GANs
Generating Tabular Synthetic Data using State of the Art GAN architecture
MadryLab/robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
MadryLab/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
AI-secure/G-PATE
[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li
preraulab/DYNAM-O
DYNAM-O: Dynamic Oscillation Toolbox v1.0 - Prerau Laboratory (sleepEEG.org)
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
unum-cloud/uform
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
learnables/learn2learn
A PyTorch Library for Meta-learning Research
yaoyao-liu/meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
TL-System/plato
A federated learning framework to support scalable and reproducible research
as791/Adversarial-Example-Attack-and-Defense
This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
HongshengHu/membership-inference-machine-learning-literature
statice/anonymeter
A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR
yhlleo/MJP
An official Pytorch implementation of "Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers", CVPR 2023.
vaikkunth/PrivacyFL
A Simulator for Privacy Preserving Federated Learning
jacobgil/vit-explain
Explainability for Vision Transformers
hila-chefer/Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
NVlabs/DeepInversion
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
Princeton-SysML/GradAttack
GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
andrewekhalel/MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
ndb796/Deep-Learning-Paper-Review-and-Practice
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
pquochuy/SeqSleepNet
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
SAP-samples/machine-learning-diff-private-federated-learning
Simulate a federated setting and run differentially private federated learning.
emadeldeen24/ADAST
[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"
anguyen8/XAI-papers
hanzhanggit/StackGAN-Pytorch
boost-devs/ai-tech-interview
👩💻👨💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)