lbfgs by clementfarabet

LibLBFGS (C Lib) wrapper.

created at March 8, 2013, 5:11 a.m.

3 +0

2 +0

2 +0

lambdo by asavinov

Feature engineering and machine learning: together at last!

created at July 15, 2018, 7:32 a.m.

3 +0

23 +0

4 +0

ThinkStats2 by wavelets

Text and supporting code for Think Stats, 2nd Edition

created at July 15, 2014, 4:03 a.m.

3 +0

8 +0

8 +0

ios-KRFuzzyCMeans-Algorithm by Kalvar

Fuzzy C-Means is clustering algorithm (クラスタリング分類) combined fuzzy theory (ファジー理論) on Machine Learning.

created at April 6, 2015, 6:47 p.m.

3 +0

12 +0

0 +0

ruby-machine-learning by tsycho

Some Machine Learning algorithms, implemented in Ruby

created at Jan. 9, 2012, 2:07 p.m.

3 +0

31 +0

3 +0

minigrad by kennysong

A minimal implementation of autograd (in pure Python) 🍰

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

3 +0

93 +0

6 +0

prodmodel by prodmodel

Build, test, deploy, iterate - Dev and prod tool for data science pipelines

created at March 17, 2019, 8:51 p.m.

3 +0

59 +0

4 +0

dockerdl by matifali

Deep Learning Docker Image

created at Sept. 13, 2022, 9:16 p.m.

3 +0

78 +1

10 +1

uea-stemmer by ealdent

Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing

created at July 15, 2009, 1 p.m.

3 +0

53 +0

5 +0

python-timbl by proycon

python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.

created at Feb. 11, 2013, 11:07 a.m.

4 +0

18 +0

3 +0

PyStanfordDependencies by dmcc

Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Depenencies

created at Dec. 13, 2014, 6:38 p.m.

4 +0

68 +0

17 +0

fex by koraykv

feature extractor library for torch7

created at Feb. 22, 2012, 5:09 p.m.

4 +0

10 +0

5 +0

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.

4 +0

32 +0

6 +0

kaggle-bestbuy_small by zygmuntz

None

created at Sept. 17, 2012, 6:02 p.m.

4 +0

6 +0

10 +0

aledataset by fidlej

Scripts to generate a dataset with static frames from the Arcade Learning Environment

created at May 9, 2014, 4:07 p.m.

4 +0

18 +0

2 +0

statkit by rigtorp

Statistics toolkit for JavaScript

created at June 26, 2014, 4:39 a.m.

4 +0

51 +0

3 +0

ios-Multi-Perceptron-NeuralNetwork by Kalvar

MLP of Deep Learning. (マシンラーニング).

created at Feb. 24, 2015, 9:30 a.m.

4 +0

24 +0

2 +0

CoverTree by patvarilly

Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree

created at March 9, 2012, 12:51 a.m.

4 +0

31 +0

9 +0

kaggle-bestbuy_big by zygmuntz

Code for the Best Buy competition at Kaggle

created at Sept. 19, 2012, 2:38 p.m.

4 +0

8 +0

8 +0

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.

4 +0

67 +0

5 +0