sklearn-bayes by AmazaspShumik

Python package for Bayesian Machine Learning with scikit-learn API

created at July 30, 2015, 3:15 a.m.

Jupyter Notebook

33 +0

514 +1

118 +0

GitHub
Pavlov.js by NathanEpstein

Reinforcement learning using Markov Decision Processes. For JS, written in C++.

created at May 10, 2015, 4:52 p.m.

C++

27 +0

500 +0

20 +0

GitHub
kaggle-galaxies by benanne

Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)

created at April 15, 2014, 10:14 a.m.

Python

34 +0

494 +0

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GitHub
datacompy by capitalone

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

created at March 23, 2018, 1:16 p.m.

Python

23 +0

485 +1

129 +1

GitHub
DataFramesMeta.jl by JuliaData

Metaprogramming tools for DataFrames

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

Julia

19 +0

481 +0

55 +0

GitHub
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.

Python

31 +0

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GitHub
wego by ynqa

Word Embeddings in Go!

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

Go

17 +0

474 -1

41 +0

GitHub
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.

Java

62 +0

472 +1

142 +0

GitHub
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.

Python

19 +0

471 +0

63 +0

GitHub
machine-learning-module by josephmisiti

the best machine learning tutorials on the web

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

Objective-C

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254 +0

GitHub
dn2a by antoniodeluca

Dynamic Neural Networks Architect

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

TypeScript

26 +0

463 +1

16 +0

GitHub
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.

Python

18 +0

460 +2

101 +0

GitHub
dl-translate by xhlulu

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

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

Python

7 +0

453 +0

48 +0

GitHub
open-solution-home-credit by minerva-ml

Open solution to the Home Credit Default Risk challenge house with garden

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

Python

34 +0

452 +0

170 +0

GitHub
lightwood by mindsdb

Lightwood is Legos for Machine Learning.

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

Python

19 +0

449 +1

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GitHub
sentences by neurosnap

A multilingual command line sentence tokenizer in Golang

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

Go

14 +0

439 +0

39 +0

GitHub
Fido by FidoProject

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

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

C++

37 +0

437 +0

81 +0

GitHub
Distances.jl by JuliaStats

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

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

Julia

19 +0

433 +0

98 +0

GitHub
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.

Go

16 +0

432 +0

72 +0

GitHub
deep-diamond by uncomplicate

A fast Clojure Tensor & Deep Learning library

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

Clojure

28 +0

432 +0

17 +0

GitHub