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random-weighted-bootstrap-with-weibull icon random-weighted-bootstrap-with-weibull

Reproduction of the work by Hong, Y., Meeker, W. Q., & McCalley, J. D. (2009). Prediction of remaining life of power transformers based on left truncated and right censored lifetime data. Annals of Applied Statistics, 3(2), 857-879.

rat-sql icon rat-sql

A relation-aware semantic parsing model from English to SQL

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rdf2graph icon rdf2graph

A tool to recover the structure from an RDF resource

react-csv icon react-csv

React components to build CSV files on the fly basing on Array/literal object of data

resnet-classifier icon resnet-classifier

Deep ConvNet Image Classifier based on Residual Network architecture trained on Caltech 101 Object Dataset

rul-prediction icon rul-prediction

Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM

sapcon icon sapcon

SAP RFC Connector and Code Generator

scattertext icon scattertext

Beautiful visualizations of how language differs among document types.

scikit-kge icon scikit-kge

Python library to compute knowledge graph embeddings

scikit-llm icon scikit-llm

Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

semantic_similarity icon semantic_similarity

Comparing TF-IDF, fastText, LASER, Sentence-BERT & USE for semantic similarity. One test with STS Benchmark and one test with self-made sentences.

sematch icon sematch

semantic similarity framework for knowledge graph

seq2seq-attn icon seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

sklearn-bank-marketing icon sklearn-bank-marketing

Build multiple machine learning models (Nearest Neighbors, SVMs, Decision Tree, Random Forest, Naive Bayes, etc.) for bank marketing data using sklearn and pandas.

smac3 icon smac3

Sequential Model-based Algorithm Configuration

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