Pinned Repositories
awesome-adversarial-examples-events
A curated list of events on adversarial examples
awesome-federated-learning-1
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
Federated-Learning-1
联邦学习
interviews
Everything you need to know to get the job.
llmprivacy
research-proposal-template
LaTeX template to outline and draft academic papers (or theses) in Computer Science (in English and German language)
sales-prediction
try to use some machine learning approaches and data mining technologies to help a shop to predict sales. This is a kaggle competition
ssehackton
microsoft hackton in rwth aachen
hitum-dev's Repositories
hitum-dev/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
hitum-dev/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
hitum-dev/CPL_attack
hitum-dev/PySyft
A library for answering questions using data you cannot see
hitum-dev/gansformer
Generative Adversarial Transformers
hitum-dev/security-research-differentially-private-generative-models
SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning models
hitum-dev/synthea
Synthetic Patient Population Simulator
hitum-dev/petclinic-csv-exercise
hitum-dev/fitnesse-html-util
Clean Code - Functions - Refactoring Example
hitum-dev/aircompany
Clean Code - Functions - Review Example
hitum-dev/OMGD
Online Multi-Granularity Distillation for GAN Compression (ICCV2021)
hitum-dev/models-1
Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
hitum-dev/flight-reservation
Clean Code - Classes - Refactoring Example
hitum-dev/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
hitum-dev/featureinference-vfl
hitum-dev/virtualdatalab
Benchmarking synthetic data generators for sequential data in terms of accuracy and privacy.
hitum-dev/FedScale
FedScale: Benchmarking Model and System Performance of Federated Learning
hitum-dev/dpgan
Differentially private release of semantic rich data
hitum-dev/survey-model-compression
Survey for Model Compression
hitum-dev/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
hitum-dev/Theatrical-Players-Refactoring-Kata
Example from first chapter of 'Refactoring' by Martin Fowler, with tests and translations
hitum-dev/LM_Memorization
Training data extraction on GPT-2
hitum-dev/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
hitum-dev/ydata-synthetic
Synthetic structured data generators
hitum-dev/DoppelGANger
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
hitum-dev/Attack_SplitNN
reveal the vulnerabilities of SplitNN
hitum-dev/private-data-generation
A toolbox for differentially private data generation
hitum-dev/adversarial-learning-robustness
Contains materials for workshops pertaining to adversarial robustness in deep learning.
hitum-dev/awesome-split-learning
A curated repository for various papers in the domain of split learning.
hitum-dev/invertinggradients
Algorithms to recover input data from their gradient signal through a neural network