MONAI Tutorials

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

Protect your machine learning models easily and securely with watermarking 🔑

Breaching privacy in federated learning scenarios for vision and text

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Unofficial pytorch implementation of paper: Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

Code for NAACL 2022 paper "You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas"

Kafka variant of the MLOps Level 1 stack

Training data extraction on GPT-2

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

Tools for computational pathology

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

Implementation of InfoGAN using PyTorch lightning

LexNLP by LexPredict

Reading Wikipedia to Answer Open-Domain Questions

Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

Self-Supervised Learning Toolbox and Benchmark

Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Repository for few-shot learning machine learning projects