hnn by alpmestan

haskell neural network library

created at Oct. 9, 2012, 11:05 p.m.

Haskell

17 +0

112 +0

14 +0

GitHub
torch-randomkit by deepmind

Provides and wraps the Randomkit library, copied from Numpy.

created at Oct. 25, 2013, 5:02 p.m.

Lua

17 +0

34 +0

26 +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

115 -1

21 +0

GitHub
goro by aunum

A High-level Machine Learning Library for Go

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

Go

18 +0

370 +0

20 +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

285 +0

18 +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

830 +0

179 +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

372 +0

57 +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
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

447 +0

102 +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
rb-libsvm by febeling

Ruby language bindings for LIBSVM

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

C++

18 +0

278 +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

268 +0

71 +1

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

136 +0

10 +0

GitHub
Neuraxle by Neuraxio

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

created at March 26, 2019, 9:01 p.m.

Python

19 +0

599 +0

60 +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

416 +0

96 +0

GitHub
MixedModels.jl by JuliaStats

A Julia package for fitting (statistical) mixed-effects models

created at March 29, 2013, 9:24 p.m.

Julia

19 +0

401 +0

47 +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

19 +0

402 +0

82 +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

464 +0

64 +0

GitHub
DataFramesMeta.jl by JuliaData

Metaprogramming tools for DataFrames

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

Julia

19 +0

476 +0

54 +0

GitHub