sonichi
Creator & Lead of AutoGen & FLAML. Working on intersection of AI, ML, Systems. Ex-Microsoft Research, ex-Meta. PhD @UofIllinois. BS @Tsinghua_Uni.
Microsoft
Pinned Repositories
auto-sklearn
Automated Machine Learning with scikit-learn
automlbenchmark
OpenML AutoML Benchmarking Framework
Blendsearch-on-Ray-benchmark
CoreNLP
Stanford CoreNLP: A Java suite of Core NLP tools
Fast-Detection-of-Overlapping-Communities-via-Online-Tensor-Methods
We present a fast tensor-based approach for detecting hidden overlapping communities under the Mixed Membership Stochastic Blockmodel (MMSB). We present two implementations, viz., a GPU-based implementation which exploits the parallelism of SIMD architectures and a CPU-based implementation for larger datasets, wherein the GPU memory does not suffice.
FLAML
A fast and lightweight AutoML library.
mathnet-numerics
Math.NET Numerics
pdf2htmlEX
Convert PDF to HTML without losing text or format.
socialinfluence
Automatically exported from code.google.com/p/socialinfluence
TopicModeling
Single node topic model learning and inference via method of moments using tensor decomposition. Alternating least squares with pre-processing (a whitening step consists of orthogonalization and dimensionality reduction) is implemented.
sonichi's Repositories
sonichi/pdf2htmlEX
Convert PDF to HTML without losing text or format.
sonichi/mathnet-numerics
Math.NET Numerics
sonichi/socialinfluence
Automatically exported from code.google.com/p/socialinfluence
sonichi/auto-sklearn
Automated Machine Learning with scikit-learn
sonichi/automlbenchmark
OpenML AutoML Benchmarking Framework
sonichi/CoreNLP
Stanford CoreNLP: A Java suite of Core NLP tools
sonichi/Fast-Detection-of-Overlapping-Communities-via-Online-Tensor-Methods
We present a fast tensor-based approach for detecting hidden overlapping communities under the Mixed Membership Stochastic Blockmodel (MMSB). We present two implementations, viz., a GPU-based implementation which exploits the parallelism of SIMD architectures and a CPU-based implementation for larger datasets, wherein the GPU memory does not suffice.
sonichi/FLAML
A fast and lightweight AutoML library.
sonichi/h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
sonichi/Kaggle
Containing codes of participation in Kaggle competitions.
sonichi/TopicModeling
Single node topic model learning and inference via method of moments using tensor decomposition. Alternating least squares with pre-processing (a whitening step consists of orthogonalization and dimensionality reduction) is implemented.
sonichi/Blendsearch-on-Ray-benchmark
sonichi/boosting_tree_benchmarks
sonichi/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
sonichi/monotouch-samples
Xamarin.iOS sample apps
sonichi/OAuthTwoDemo.XForms
Xamarin.Auth with Xamarin.Forms for iOS and Android
sonichi/SQL-Server-R-Services-Samples
Advanced analytics samples and templates using SQL Server R Services
sonichi/Xamarin-Forms-Labs
Xamarin Forms Labs is a open source project that aims to provide a powerful and cross platform set of controls and helpers tailored to work with Xamarin Forms.
sonichi/xamarin-forms-samples
Sample apps built using the Xamarin.Forms framework
sonichi/XamarinAuthInForms
Xamarin PCL App Using OAuth+Forms