CHI-MING-LEE

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old-population-proportions

Shiny app showing proportions of older adults across districts in Taiwan

Language:RGPL-3.0800

ShinyChat

Chat client built in Shiny

Language:RMIT7200

GPyOpt

Gaussian Process Optimization using GPy

Language:Jupyter NotebookBSD-3-Clause92700

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

Language:PythonBSD-3-Clause273700

MobileNet

A Clearer and Simpler MobileNet Implementation in TensorFlow

Language:PythonApache-2.012900

fixmatch

A simple method to perform semi-supervised learning with limited data.

Language:PythonApache-2.0108300

confidence_estimation

Learning Confidence for Out-of-Distribution Detection in Neural Networks

Language:PythonNOASSERTION26500

fastText

Library for fast text representation and classification.

Language:HTMLMIT2580000

bert

TensorFlow code and pre-trained models for BERT

Language:PythonApache-2.03770000

CategoricalEncodingBenchmark

Benchmarking different approaches for categorical encoding for tabular data

Language:Jupyter Notebook17000

facets

Visualizations for machine learning datasets

Language:Jupyter NotebookApache-2.0734300

category_encoders

A library of sklearn compatible categorical variable encoders

Language:PythonBSD-3-Clause239400

nltk-trainer

Train NLTK objects with zero code

Language:PythonApache-2.074800

pyts

A Python package for time series classification

Language:PythonBSD-3-Clause174300

tweet-stance-prediction

Applying NLP transfer learning techniques to predict Tweet stance toward a topic

Language:Jupyter NotebookMIT10700

python-cheatsheet

Comprehensive Python Cheatsheet

Language:Python3603900

Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Language:Jupyter Notebook115700

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Language:PythonMIT1820700

shap

A game theoretic approach to explain the output of any machine learning model.

Language:Jupyter NotebookMIT2233900

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Language:PythonApache-2.0796600

perceptions

Perceptions of Probability and Numbers

Language:RMIT80400

wordcloud2

R interface to wordcloud for data visualization.

Language:JavaScript39700