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Name: Bernard Ong
Type: User
Bio: Data Scientist | Machine Learning Specialist | Kaggle Competition Expert | AI Argonaut | Zen Meditation Expert
Location: New Jersey
Name: Bernard Ong
Type: User
Bio: Data Scientist | Machine Learning Specialist | Kaggle Competition Expert | AI Argonaut | Zen Meditation Expert
Location: New Jersey
Algorithms for outlier, adversarial and drift detection
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
A collection of awesome papers, code, blogs, articles and resources pertaining to (anything)2vec.
Task generation for testing text understanding and reasoning
A Python implementation of global optimization with gaussian processes.
Neural networks on the Ethereum blockchain
MXNet implementation of CapsNet
DS 310: Click-Bait Detection Machine Learning Project
Keras implementation of 'Convolutional Neural Networks for Sentence Classification. EMNLP 2014. Y. Kim.
Code for building ConceptNet from raw data.
High performance ML in pure Python
Platform to create datathons like Kaggle
Generating faces with deconvolution networks
A MXNet implementation of Baidu's DeepSpeech architecture
Simple implementation of a genetic algorithm to solve a linear regression problem.
Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning
Ethereum ICO smart contracts and tools for managing crowdsales
Kaggle Machine Learning Challenge to Predict Consumer Credit Default
Kaggle Higgs Boson Machine Learning Challenge
Coursera Training Files for ML Foundations
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Sample Python excerpts for instructional purposes.
IPython notebooks from the scikit-learn video series
Use evolutionary algorithms instead of gridsearch in scikit-learn
StackNet is a computational, scalable and analytical Meta modelling framework
A test project to see if SymPy can run on PyPy.js
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.