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Jeong-Yoon Lee's Projects

audiomentations icon audiomentations

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

autogbt icon autogbt

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

benchm-dl icon benchm-dl

Playing with various deep learning tools and network architectures

benchm-ml icon benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

bitstarter icon bitstarter

This is a barebones Node.js app using the Express framework.

caffe icon caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

causalml icon causalml

Uplift modeling and causal inference with machine learning algorithms

data-science-toolbox icon data-science-toolbox

A collection of command-line tools that facilitate the obtaining, scrubbing, and exploring of data.

decaf-release icon decaf-release

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

deepbeliefsdk icon deepbeliefsdk

The SDK for Jetpac's iOS Deep Belief image recognition framework

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