bllip-parser by BLLIP

BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

created at Feb. 27, 2011, 7:29 p.m.

GAP

17 +0

227 +0

53 +0

GitHub
goro by aunum

A High-level Machine Learning Library for Go

created at March 29, 2020, 9 p.m.

Go

17 +0

372 +0

20 +0

GitHub
YCML by yconst

A Machine Learning and Optimization framework for Objective-C and Swift (MacOS and iOS)

created at March 10, 2015, 9:46 a.m.

Objective-C

18 +0

116 +0

21 +0

GitHub
flare by aria42

Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)

created at Aug. 27, 2017, 1:12 a.m.

Clojure

18 +0

284 +0

18 +0

GitHub
rgf by RGF-team

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

created at June 8, 2016, 3:48 p.m.

C++

18 +0

378 +0

58 +0

GitHub
neural-style-pt by ProGamerGov

PyTorch implementation of neural style transfer algorithm

created at July 25, 2018, 7:35 p.m.

Python

18 +0

840 +1

174 +0

GitHub
ganitha by tresata

scalding powered machine learning

created at Aug. 21, 2013, 3:32 p.m.

Scala

18 +0

109 +0

12 +0

GitHub
oml by rleonid

OCaml Math Library

created at March 12, 2015, 10:02 p.m.

OCaml

18 +0

119 +0

9 +0

GitHub
jruby_mahout by vasinov

JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby.

created at Nov. 15, 2012, 10:29 p.m.

Ruby

18 +0

162 +0

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
the-elements-of-statistical-learning by maitbayev

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

created at April 18, 2018, 7:51 p.m.

Jupyter Notebook

18 +0

404 +0

83 +0

GitHub
DynaML by transcendent-ai-labs

Scala Library/REPL for Machine Learning Research

created at Feb. 16, 2015, 3:22 p.m.

Scala

18 +0

201 +0

51 +0

GitHub
cleartk by ClearTK

Machine learning components for Apache UIMA

created at April 7, 2015, 8:44 p.m.

Java

18 +0

129 +0

58 +0

GitHub
rb-libsvm by febeling

Ruby language bindings for LIBSVM

created at March 15, 2009, 11:35 a.m.

C++

18 +0

279 +0

33 +0

GitHub
SuperLearner by ecpolley

Current version of the SuperLearner R package

created at April 16, 2011, 5:18 a.m.

R

18 +0

271 +0

72 +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
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
enclog by jimpil

Clojure wrapper for Encog (v3) (Machine-Learning framework that specialises in neural-nets)

created at Sept. 4, 2012, 6:37 p.m.

Clojure

19 +0

137 +0

10 +0

GitHub
tech.ml.dataset by techascent

A Clojure high performance data processing system

created at Feb. 14, 2019, 5:07 p.m.

Clojure

19 +0

681 +3

35 +0

GitHub
deep-learning-project-template by PyTorchLightning

Pytorch Lightning code guideline for conferences

created at Aug. 23, 2019, 4:50 p.m.

Python

19 +1

1,242 +2

273 +1

GitHub