BrodyMcNutt's Stars
RobustBench/robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
facebookresearch/fisher_information_loss
This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"
tuplex/tuplex
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.
YixuanLi/convergent_learning
Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
DHMC-EDIT/WSI-GTFE
Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.
adap/flower
Flower: A Friendly Federated AI Framework
IBM/KL-fusion
This repository contains code for our ICML 2020 paper "Model Fusion with Kullback–Leibler Divergence", S. Claici, M. Yurochkin, S. Ghosh and J. Solomon.
IBM/SPAHM
Code for NeurIPS 2019 paper "Statistical Model Aggregation via Parameter Matching"
FedML-AI/FedGraphNN
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
xxlya/Fed_ABIDE
impelmentation of https://arxiv.org/pdf/2001.05647.pdf
datashield/datashield-infrastructure
Infrastructure set up code, examples and puppet environments for datashield
ziyili20/DistributedLearningPredictor
Repository for Distributed Learning Prediction Models
pytorch/captum
Model interpretability and understanding for PyTorch
BorealisAI/advertorch
A Toolbox for Adversarial Robustness Research
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
autonomio/talos
Hyperparameter Experiments with TensorFlow and Keras
tensortrade-org/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
notadamking/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
IBM/probabilistic-federated-neural-matching
Bayesian Nonparametric Federated Learning of Neural Networks
brannondorsey/PassGAN
A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
litian96/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
PrivateUtility/PrivateUtility
This repo to to host work investigating the tradeoff between privacy and utility in machine learning.
FederatedAI/FATE
An Industrial Grade Federated Learning Framework
OpenMined/PyGrid-deprecated---see-PySyft-
A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science
OpenMined/PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
OpenMined/TenSEAL
A library for doing homomorphic encryption operations on tensors