Pinned Repositories
acol-cluster
reproduce code for "https://arxiv.org/abs/1802.03063"
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
an-analysis-of-unsupervised-pre-training-iclr-2015
Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/abs/1412.6597
awesome
:sunglasses: Curated list of awesome lists
awesome-differential-privacy
list of differential-privacy related repositories
Back-End-Developer-Interview-Questions
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
backtrader
codetemplates
Code templates for interview problems
dpdl
A new framework of deep learning with differential privacy
dpsgd
xzzjx's Repositories
xzzjx/dpdl
A new framework of deep learning with differential privacy
xzzjx/dpsgd
xzzjx/awesome-differential-privacy
list of differential-privacy related repositories
xzzjx/acol-cluster
reproduce code for "https://arxiv.org/abs/1802.03063"
xzzjx/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
xzzjx/an-analysis-of-unsupervised-pre-training-iclr-2015
Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/abs/1412.6597
xzzjx/awesome
:sunglasses: Curated list of awesome lists
xzzjx/Back-End-Developer-Interview-Questions
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
xzzjx/backtrader
xzzjx/codetemplates
Code templates for interview problems
xzzjx/convertible_bond
低风险投资之可转债 可转债量化分析
xzzjx/cyphercat
Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.
xzzjx/estimator
TensorFlow Estimator
xzzjx/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
xzzjx/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
xzzjx/JSPATE
xzzjx/LALNets
xzzjx/ML-Privacy-Regulization
xzzjx/mleap
MLeap: Deploy ML Pipelines to Production
xzzjx/OnJava8
《On Java 8》中文版,又名《Java编程**》 第5版
xzzjx/pydp
xzzjx/RSPapers
Must-read papers on Recommender System.
xzzjx/share-docs
xzzjx/stock
30天掌握量化交易 (持续更新)
xzzjx/studyFiles
一些经典且高质量的电子书分享
xzzjx/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way.
xzzjx/xzzjx.github.io
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