CodeYueXiong

CodeYueXiong's Stars

• ZTaer/VST

  视频字幕实时翻译插件 - 需配合谷歌翻译

  Language:JavaScript6819

• weekend-project-space/web-tv

  网络电视, 字幕实时翻译,web-tv, online stream tv

  Language:JavaScript8719

• inboxpraveen/LLM-Minutes-of-Meeting

  🎤📄 An innovative tool that transforms audio or video files into text transcripts and generates concise meeting minutes. Stay organized and efficient in your meetings, and get ready for Phase 2 where we'll be open for contributions to enable real-time meeting transcription! 🚀

  Language:Python9012

• lvgig/tubular

  Python package implementing transformers for pre processing steps for machine learning.

  Language:Python3814

• MG-Microsoft/MLOps_Workshop

  Azure MLOps

  Language:Python110318

• qiaoliangxiang/cfa

  FRM & CFA study notes

  23264

• geniayuan/books

  useful books

  7438

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k5.8k

• rbhatia46/Data-Science-Interview-Resources

  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

  2.7k646

• CodeYueXiong/Master-Thesis-SyntheticDataGeneration

  Master Thesis on Generating Synthetic Data and Disclosure Control of Global COVID-19 Trends and Impact Survey Microdata and Opendata, especially focusing on the evaluation of different synthetic datasets.

  Language:Jupyter Notebook4

• jcrodriguez1989/chatgpt

  Interface to ChatGPT from R

  Language:R31137

• YC-Coder-Chen/leetCode-SQL

  Answers for all 153 database questions on LeetCode [Update on 2021/04/03]

  Language:Python5227

• cM2908/leetcode-sql

  Leetcode SQL Solutions

  Language:PLpgSQL16953

• Baukebrenninkmeijer/table-evaluator

  Evaluate real and synthetic datasets against each other

  Language:Jupyter Notebook7727

• sdv-dev/SDGym

  Benchmarking synthetic data generation methods.

  Language:Python25458

• sdv-dev/SDV

  Synthetic data generation for tabular data

  Language:Python2.3k303

• hazy/synthpop

  Python implementation of the R package synthpop.

  Language:Python448

• hazy/dpart

  dpart: General, flexible, and scalable framework for differentially private synthetic data generation, developed by hazy.

  Language:Python237

• usnistgov/PrivacyEngCollabSpace

  Privacy Engineering Collaboration Space

  Language:Python234129

• joofio/awesome-data-synthesis

  A curated list of awesome resources for creating synthetic data

  376

• mrtzh/PrivateMultiplicativeWeights.jl

  Differentially private synthetic data

  Language:Julia4618

• stefanrmmr/differentially_private_synthetic_data

  Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS

  Language:Jupyter Notebook112

• opendp/smartnoise-samples

  Code samples and documentation for SmartNoise differential privacy tools

  Language:Jupyter Notebook13249

• usnistgov/Differential-Privacy-Synthetic-Data-Challenge-assets

  This repository contains all public data, python scripts, and documentation relating to NIST Public Safety Communications Research Division's Differential Privacy program including past prize challenges and bechmark problem sets.

  84

• Urban-Analytics/data-driven-car-following

  Development of parametric, deep learning, and reinforcement learning agent-based model of car-following behaviour. The models aim to be data-driven, and take into account the heterogeneity of drivers' behaviour and vehicle types. Potential future applications include investigation of a mixed traffic of human-driven vehicles and autonomous vehicles.

  Language:Jupyter Notebook205

• akuppam/timeS

  Time series models

  Language:Jupyter Notebook1

• SteffenMoritz/Synthetic_Data_Challenge

  UNECE HLG-MOS Synthetic Data Challenge (TEAM DESTATIS)

  Language:HTML24

• CaroHaensch/CTIS

  R based Global COVID-19 Trends and Impact Survey Microdata and Opendata API Interface

  Language:R31

• gitgik/differential-privacy-federated-learning

  Curated notebooks on how to train neural networks using differential privacy and federated learning.

  Language:Jupyter Notebook6616

• pytorch/opacus

  Training PyTorch models with differential privacy

  Language:Jupyter Notebook1.7k334