Pinned Repositories
AMC
Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
berp-trans
Transcripts for the audio files in the Berkeley Restaurant Project (BeRP) corpus
boringssl
Custom version of Boring SSL used by Mono
boringssl-1
Mirror of BoringSSL
colah.github.io
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
jieba
结巴中文分词
show-me-the-code
Python 练习册，每天一个小程序
michelle190's Repositories
michelle190/jieba
结巴中文分词
michelle190/show-me-the-code
Python 练习册，每天一个小程序
michelle190/AMC
Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"
michelle190/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
michelle190/awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
michelle190/boringssl
Custom version of Boring SSL used by Mono
michelle190/boringssl-1
Mirror of BoringSSL
michelle190/colah.github.io
michelle190/CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
michelle190/cryptography
cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.
michelle190/CryptoNets
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
michelle190/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
michelle190/dica
Rethinking LDA: moment matching for discrete ICA
michelle190/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
michelle190/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
michelle190/MachineLearning
This project contain some machine learning algrithm demo.Maybe the code is also useful to you.
michelle190/malb.github.io
website
michelle190/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more
michelle190/neural-network-papers
michelle190/nlp-lang
这个项目是一个基本包.封装了大多数nlp项目中常用工具
michelle190/nltk
NLTK Source
michelle190/pydelicious
Automatically exported from code.google.com/p/pydelicious
michelle190/pyltp
pyltp: the python extension for LTP
michelle190/PyStanfordDependencies
Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Depenencies
michelle190/sage
Mirror of the Sage source tree -- please do not submit PRs here -- everything must be submitted via https://trac.sagemath.org/
michelle190/tensorflow
Computation using data flow graphs for scalable machine learning
michelle190/TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
michelle190/thuthesis
LaTeX Thesis Template for Tsinghua University
michelle190/twitter_nlp
Twitter NLP Tools
michelle190/word2vec
Automatically exported from code.google.com/p/word2vec