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19 search results found

Nlp Journey ⭐ 1,563

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

Lightml.jl ⭐ 366

Minimal and clean examples of machine learning algorithms implemented in Julia

Nlp_bahasa_resources ⭐ 260

A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

Tiny_ml ⭐ 137

numpy 实现的周志华《机器学习》书中的算法及其他一些传统机器学习算法

Online Max-Margin Topic Models for Accurate and Fast Text Classification [release v0.1]

Bci_toolbox ⭐ 29

Classification toolbox for ERP and SSVEP based BCI data

Lda_cnn_text_classifier ⭐ 19

prepare the input data for CNN text classification using LDA

Natural Language Processing for Lithuanian language

Quick Data Science Experiments 2017 ⭐ 14

Quick-Data-Science-Experiments

Machine Learning Templates ⭐ 13

Logistic_lda ⭐ 8

Basic tensorflow implementation of logistic latent Dirichlet allocation

Smpcup2017_palm ⭐ 7

2nd place for total score, 1st place for task2

Pachyderm Python ⭐ 7

An iris classification Pachyderm pipeline written in Python.

Supertopicmodels ⭐ 7

Supervised Latent Dirichlet Allocation and other topic models. Supports regression and classification. Written in Matlab.

Adverse Events ⭐ 6

IEEE BIBM 2021: Bayesian optimization-guided topic modeling for automatic detection of sepsis-related events from free text

License_doc_similality1 ⭐ 6

detectes License name normalized like SPDX, by similarity classification (gensim)

Simple Linear Classification ⭐ 5

A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)

Machine Learning A Review ⭐ 5

Classification, Cluster, Regression

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