pynlpl by proycon

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

created at July 6, 2010, 11:42 a.m.

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DataFramesMeta.jl by JuliaData

Metaprogramming tools for DataFrames

created at Feb. 5, 2014, 12:16 a.m.

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cogcomp-nlp by CogComp

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

created at Oct. 18, 2015, 4:11 a.m.

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machine-learning-module by josephmisiti

the best machine learning tutorials on the web

created at April 28, 2011, 1:01 a.m.

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wego by ynqa

Word Embeddings (e.g. Word2Vec) in Go!

created at Jan. 30, 2017, 3:38 p.m.

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TResNet by Alibaba-MIIL

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

created at March 27, 2020, 5:53 p.m.

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dn2a by antoniodeluca

Dynamic Neural Networks Architect

created at June 4, 2016, 4:29 p.m.

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pytorch-frame by pyg-team

Tabular Deep Learning Library for PyTorch

created at Aug. 11, 2023, 4:41 a.m.

16 +0

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comet-llm by comet-ml

Log, Track, and Visualize your LLM Prompts and Chains

created at May 10, 2023, 12:57 p.m.

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open-solution-home-credit by minerva-ml

Open solution to the Home Credit Default Risk challenge

created at May 18, 2018, 9:36 p.m.

34 +0

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chefboost by serengil

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

created at March 6, 2019, 12:26 p.m.

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Fido by FidoProject

A lightweight C++ machine learning library for embedded electronics and robotics.

created at Aug. 7, 2015, 2:54 a.m.

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lightwood by mindsdb

Lightwood is Legos for Machine Learning.

created at May 20, 2019, 9:31 p.m.

15 +0

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sentences by neurosnap

A multilingual command line sentence tokenizer in Golang

created at Aug. 7, 2015, 1:08 a.m.

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pastalog by rewonc

Simple, realtime visualization of neural network training performance.

created at March 31, 2016, 5:57 p.m.

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leaves by dmitryikh

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

created at Sept. 15, 2018, 9:26 a.m.

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deep-diamond by uncomplicate

A fast Clojure Tensor & Deep Learning library

created at March 3, 2019, 1:09 p.m.

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Distances.jl by JuliaStats

A Julia package for evaluating distances (metrics) between vectors.

created at Aug. 26, 2014, 4:25 a.m.

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dl-translate by xhlulu

Library for translating between 200 languages. Built on 🤗 transformers.

created at Feb. 22, 2021, 4:56 a.m.

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sequitur by shobrook

Library of autoencoders for sequential data

created at Sept. 27, 2019, 10:51 p.m.

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