MLPleaseHelp by jgreenemi

MLPleaseHelp is a simple ML resource search engine.

created at Jan. 29, 2018, 3:15 a.m.

JavaScript

3 +0

5 +0

3 +0

GitHub
rockpool by synsense

A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

created at Sept. 9, 2021, 3:44 p.m.

Python

3 +0

42 +1

12 +0

GitHub
prodmodel by prodmodel

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

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

Python

3 +0

57 +0

3 +0

GitHub
ThinkStats2 by wavelets

Text and supporting code for Think Stats, 2nd Edition

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

Unknown languages

3 +0

8 +0

7 +0

GitHub
ruby-machine-learning by tsycho

Some Machine Learning algorithms, implemented in Ruby

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

Ruby

3 +0

31 +0

3 +0

GitHub
wikichallenge by hammer

An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle

created at Nov. 22, 2011, 5:38 a.m.

Python

3 +0

11 +0

11 +0

GitHub
gaussian-mixture-model by lukapopijac

Unsupervised machine learning with multivariate Gaussian mixture model which supports both offline data and real-time data stream.

created at April 16, 2017, 12:03 a.m.

JavaScript

3 +0

27 +0

1 +0

GitHub
OnlineLearning.jl by lendle

None

created at June 11, 2014, 4:11 a.m.

Julia

3 +0

14 +0

1 +0

GitHub
vowpal_wabbit by clementfarabet

John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm

created at Oct. 31, 2011, 8:31 p.m.

C++

4 +0

2 +0

0 +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

5 +0

GitHub
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.

Python

4 +0

68 +0

16 +0

GitHub
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.

Python

4 +0

17 +0

2 +0

GitHub
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.

Objective-C

4 +0

24 +0

2 +0

GitHub
fex by koraykv

feature extractor library for torch7

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

Lua

4 +0

10 +0

5 +0

GitHub
kaggle-bestbuy_small by zygmuntz

None

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

Python

4 +0

6 +0

9 +0

GitHub
statkit by rigtorp

Statistics toolkit for JavaScript

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

JavaScript

4 +0

51 +0

6 +0

GitHub
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
RusticSOM by avinashshenoy97

Rust library for Self Organising Maps (SOM).

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

Rust

4 +0

31 +0

7 +0

GitHub
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.

Python

4 +0

31 +0

8 +0

GitHub
kaggle-bestbuy_big by zygmuntz

Code for the Best Buy competition at Kaggle

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

Python

4 +0

8 +0

7 +0

GitHub