BernardOng

alibi-detect

Algorithms for outlier, adversarial and drift detection

Auto_TS

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.

awesome2vec

A collection of awesome papers, code, blogs, articles and resources pertaining to (anything)2vec.

bAbI-tasks

Task generation for testing text understanding and reasoning

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

blockbrain

Neural networks on the Ethereum blockchain

capsnet.mxnet

MXNet implementation of CapsNet

clickbait

DS 310: Click-Bait Detection Machine Learning Project

kaggle-consumer-credit-default

Kaggle Machine Learning Challenge to Predict Consumer Credit Default

kaggle-higgs-boson

Kaggle Higgs Boson Machine Learning Challenge

BernardOng/kaggle-consumer-credit-default

Kaggle Machine Learning Challenge to Predict Consumer Credit Default

BernardOng/kaggle-higgs-boson

Kaggle Higgs Boson Machine Learning Challenge

BernardOng/alibi-detect

Algorithms for outlier, adversarial and drift detection

BernardOng/Auto_TS

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.

BernardOng/awesome2vec

A collection of awesome papers, code, blogs, articles and resources pertaining to (anything)2vec.

BernardOng/bAbI-tasks

Task generation for testing text understanding and reasoning

BernardOng/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

BernardOng/blockbrain

Neural networks on the Ethereum blockchain

BernardOng/capsnet.mxnet

MXNet implementation of CapsNet

BernardOng/clickbait

DS 310: Click-Bait Detection Machine Learning Project

BernardOng/CNN-Text-Classification

Keras implementation of 'Convolutional Neural Networks for Sentence Classification. EMNLP 2014. Y. Kim.

BernardOng/conceptnet5

Code for building ConceptNet from raw data.

BernardOng/cortado

High performance ML in pure Python

BernardOng/Coval-Unspecified-Ml-Blockchain

BernardOng/datathon_builder

Platform to create datathons like Kaggle

BernardOng/deconvfaces

Generating faces with deconvolution networks

BernardOng/deepspeech.mxnet

A MXNet implementation of Baidu's DeepSpeech architecture

BernardOng/genetic_algorithm

Simple implementation of a genetic algorithm to solve a linear regression problem.

BernardOng/genetics

Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning

BernardOng/ico

Ethereum ICO smart contracts and tools for managing crowdsales

BernardOng/LSTNet

BernardOng/MLFoundations

Coursera Training Files for ML Foundations

BernardOng/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

BernardOng/PythonDemo

Sample Python excerpts for instructional purposes.

BernardOng/scikit-learn-videos

IPython notebooks from the scikit-learn video series

BernardOng/sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

BernardOng/StackNet

StackNet is a computational, scalable and analytical Meta modelling framework

BernardOng/sympy-pypyjs

A test project to see if SymPy can run on PyPy.js

BernardOng/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

BernardOng/xgboost

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