pcerda

pcerda's Stars

• pcerda/string_categorical_encoders

  Scripts for paper "Encoding high-cardinality string categorical variables"

  Language:Python248

• tigerchen52/synonym_detection

  Mining synonyms from unstructured and semi-structured data

  Language:Python24161

• tigerchen52/Biomedical-Entity-Linking

  A Keras implementation of the AAAI21 paper "a lightweight neural model for biomedical entity linking"

  Language:Python4911

• piskvorky/gensim

  Topic Modelling for Humans

  Language:Python15.6k4.4k

• VincentMatthys/posos_sample

  21

• guillaumegenthial/tf_ner

  Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

  Language:Python923275

• jeremiedbb/cython-tutorial

  Language:Jupyter Notebook8

• rakutentech/spark-dirty-cat

  Similarity encoding of dirty categorical variables (strings)

  Language:Scala197

• skrub-data/skrub

  Prepping tables for machine learning

  Language:Python1.1k96

• lmcinnes/umap

  Uniform Manifold Approximation and Projection

  Language:Python7.4k799

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.5k982

• atefm/pDMM

  Python implemetation for Dirichlet Multinomial Mixture (DMM) model

  Language:Python486

• karlnapf/ds3_kernel_testing

  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"

  Language:Fortran2620

• blei-lab/ctr

  Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

  Language:C++14743

• dfm/clda

  Collaborative LDA (à la Wang & Blei 2011)

  Language:Python32

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.4k25.3k