erchiw

adaptive_rdp

autodp

autodp: A flexible and easy-to-use package for differential privacy

cs598_deep_learning

differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

dp-xgboost

erchiw.github.io

fa21_cs291_pj

Federated-Averaging-PyTorch

An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.

Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Homekit2020

erchiw/adaptive_rdp

erchiw/autodp

autodp: A flexible and easy-to-use package for differential privacy

erchiw/cs598_deep_learning

erchiw/differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

erchiw/dp-xgboost

erchiw/erchiw.github.io

erchiw/fa21_cs291_pj

erchiw/Federated-Averaging-PyTorch

An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.

erchiw/Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

erchiw/Homekit2020

erchiw/Kaggle-MoA-2nd-Place-Solution

erchiw/ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

erchiw/nih-community

COVID onset detection models, training and sample data

erchiw/Private-XGBoost

erchiw/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

erchiw/random-fourier-features

Code for random Fourier features based on Rahimi and Recht's 2007 paper.

erchiw/tabular-benchmark

erchiw/uci_datasets

Regression datasets from the UCI repository with standardized test-train splits.