naive-apl by mattcunningham

Naive Bayesian Classifier written in APL

created at Sept. 13, 2015, 3:27 p.m.

APL

4 +0

22 +0

6 +0

GitHub
lunum by jzrake

Numeric arrays for the Lua programming language

created at Jan. 19, 2012, 5:50 p.m.

C

6 +0

37 +1

6 +0

GitHub
cl-random-forest by masatoi

Random forest in Common Lisp

created at Feb. 22, 2017, 12:21 p.m.

Common Lisp

10 +0

59 +0

6 +0

GitHub
crystal-fann by NeuraLegion

FANN (Fast Artifical Neural Network) binding in Crystal

created at June 30, 2017, 2:17 p.m.

Crystal

11 +0

85 +1

6 +0

GitHub
Synapses by mrdimosthenis

A group of neural-network libraries for functional and mainstream languages

created at Nov. 24, 2019, 5:51 p.m.

Unknown languages

8 +0

70 +0

6 +0

GitHub
kMeans.js by emilbayes

Simple Javascript implementation of the k-means algorithm, for node.js and the browser

created at March 26, 2013, 1:41 p.m.

CoffeeScript

3 +0

44 +0

6 +0

GitHub
notebooks by rlan

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub:

created at April 6, 2018, 12:33 a.m.

Dockerfile

4 +0

32 +0

6 +0

GitHub
python-neuron by molcik

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

created at July 11, 2016, 8:25 a.m.

Python

8 +0

40 +0

6 +0

GitHub
NDScala by SciScala

N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types

created at June 14, 2020, 1:57 p.m.

Scala

7 +0

47 +0

6 +0

GitHub
minigrad by kennysong

A minimal implementation of autograd (in pure Python) 🍰

created at April 23, 2020, 9 a.m.

Jupyter Notebook

3 +0

93 +0

6 +0

GitHub
dream-creator by ProGamerGov

Quickly and easily create / train a custom DeepDream model

created at Aug. 17, 2020, 8:14 p.m.

Python

3 +0

64 +0

6 +0

GitHub
pydexter by D3xterjs

Simple plotting for Python. Python wrapper for D3xter - render charts in the browser with simple Python syntax.

created at June 14, 2016, 8:25 p.m.

Python

2 +0

31 +0

6 +0

GitHub
MCMC.jl by doobwa

MCMC tools for Julia

created at June 17, 2012, 8:28 a.m.

Julia

5 +0

35 +0

6 +0

GitHub
RusticSOM by avinashshenoy97

Rust library for Self Organising Maps (SOM).

created at March 4, 2018, 7:44 a.m.

Rust

4 +0

33 +0

6 +0

GitHub
2012-paper-diginorm by dib-lab

Paper source, analysis notebook, and data generation/analysis scripts for diginorm paper

created at May 15, 2012, 3:54 a.m.

Python

25 +0

8 +0

6 +0

GitHub
snowball by tebeka

Snowball stemmer for Go

created at Dec. 4, 2012, 6:33 a.m.

C

4 +0

46 +0

6 +0

GitHub
hybrid-rs-trainner by SeniorSA

Conjunto de scripts para treinar um Sistema de Recomendação Híbrido baseado nos algoritmos do scikit-learn

created at Nov. 10, 2016, 9:44 p.m.

Python

5 +0

15 +0

5 +0

GitHub
data_visualisation_ruby by chrislo

Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby

created at Dec. 6, 2009, 9:59 p.m.

Ruby

4 +0

67 +0

5 +0

GitHub
python-ucto by proycon

This is a Python binding to the tokenizer Ucto. Tokenisation is one of the first step in almost any Natural Language Processing task, yet it is not always as trivial a task as it appears to be. This binding makes the power of the ucto tokeniser available to Python. Ucto itself is regular-expression based, extensible, and advanced tokeniser written in C++ (http://ilk.uvt.nl/ucto).

created at May 21, 2014, 5:28 p.m.

Cython

4 +0

29 +0

5 +0

GitHub
skbel by robinthibaut

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

created at May 20, 2021, 1:19 p.m.

Python

3 +0

22 +0

5 +0

GitHub