IanLiu0313

aequitas

Bias and Fairness Audit Toolkit

AIJack

reveal the vulnerabilities of machine learning models

asynchronous-federated-learning

Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)

Awesome-LLM-Tabular

Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data

awesome-ml-privacy-attacks

An awesome list of papers on privacy attacks against machine learning

building-a-reservation-site-with-python-starlette-mongodb-and-stitch

Churn--Federated-Learning-

covid-19

Novel Coronavirus 2019 time series data on cases

Covid19_Reinforcement_Learning

Applying reinforcing learning to fight the virus

CS6501_DP_Project

IanLiu0313/aequitas

Bias and Fairness Audit Toolkit

IanLiu0313/AIJack

reveal the vulnerabilities of machine learning models

IanLiu0313/asynchronous-federated-learning

Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)

IanLiu0313/Awesome-LLM-Tabular

Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data

IanLiu0313/awesome-ml-privacy-attacks

An awesome list of papers on privacy attacks against machine learning

IanLiu0313/Churn--Federated-Learning-

IanLiu0313/covid-19

Novel Coronavirus 2019 time series data on cases

IanLiu0313/CS6501_DP_Project

IanLiu0313/diabetes_classifier

diabetes_classifier

IanLiu0313/DS-Career-Resources

Compilation of resources and insights that helped me on my journey to data scientist

IanLiu0313/DS7406

DS7406 - Machine Learning Systems course repository

IanLiu0313/federated-ml

Detect anomalies in network traffic data using Federated Machine Learning technique.

IanLiu0313/FL_Intrusion_Detection

Public resources for classes, tutorials, and demonstrations.

IanLiu0313/GNND

IanLiu0313/HealthyHearts

IanLiu0313/Homomorphic-Encryption-and-Federated-Learning-based-Privacy-Preserving-CNN-Training-

Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing techniques, has been started to use for the improvement of the privacy and security of medical data. In the federated learning, the training data is distributed across multiple machines, and the learning process

IanLiu0313/IanLiu0313.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

IanLiu0313/Independent_Study

IanLiu0313/luosuu.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

IanLiu0313/membership-inference-machine-learning-literature

IanLiu0313/organ-donation-reform

IanLiu0313/persons

Labeled human instances (5711 images)

IanLiu0313/pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

IanLiu0313/python-mini-project

🙌 Welcome open-source Python mini-project contributions!

IanLiu0313/python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

IanLiu0313/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

IanLiu0313/restaurants-reviews

IanLiu0313/Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

IanLiu0313/Tax

IanLiu0313/tax_project