telescope-ds Goto Github PK

cnn-relation-extraction

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

coding-challenge

HKUST VisLab Coding Challenge

differential-privacy

Naive implementation of basic Differential-Privacy framework and algorithms

differential-privacy-2019

differential_privacy

differentially-private-formation-control-privacy-network-co-design

From the publication:

dptrajexperiments

本项目实现自《差分隐私下满足一致性的轨迹流量发布方法》，作者蔡剑平

face_recognition

The world's simplest facial recognition api for Python and the command line

fairness

Implementing Dwork et al's Fairness Through Awareness

fairness-comparison

Comparing fairness-aware machine learning techniques.

federated-learning

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

federated-learning-with-differential-privacy

Implementation of dp-based federated learning framework using PyTorch

federated_recommendation

使用tensorflow2.1实现联合学习推荐模型，并加入差分隐私噪声进行隐私保护。

fincomp_projecttemplate

inference-attacks-differential-privacy

ldp-ml

Distributed machine learning with differential privacy

lshash

A fast Python implementation of locality sensitive hashing.

lshash-1

局部敏感哈希算法进行论文的相似性比对

machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

models

Models and examples built with TensorFlow

pandas-ai-add-shortcut

Chat with your data (SQL, CSV, pandas, polars, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

privbayes

建立基于差分隐私的贝叶斯网络，使得结构化数据同时兼备隐私性与效用性

privbayes-1

PrivaBayes 算法的Python实现，使用ntlcs数据集，算法时间复杂度较高，可以输出txt文档，无注释

privbayes-2

An implementation of PrivBayes on distributed data.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

test

test111

word-embedding-with-python

word2vec, doc2vec, GloVe implementation with Python