nlp.js by axa-group

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

created at July 30, 2018, 5:46 p.m.

JavaScript

107 +1

6,146 +7

618 +0

GitHub
liblinear-java by bwaldvogel

Java version of LIBLINEAR

created at Oct. 20, 2008, 12:33 p.m.

Java

35 +0

306 +0

184 +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
netron by lutzroeder

Visualizer for neural network, deep learning and machine learning models

created at Dec. 26, 2010, 12:53 p.m.

JavaScript

295 +0

26,746 +71

2,701 +4

GitHub
NeuroNER by Franck-Dernoncourt

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

created at March 7, 2017, 1:24 a.m.

Python

79 +0

1,686 +3

479 -1

GitHub
dataframe-go by rocketlaunchr

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

created at Oct. 1, 2018, 12:19 p.m.

Go

39 +0

1,144 +5

95 +0

GitHub
webdnn by mil-tokyo

The Fastest DNN Running Framework on Web Browser

created at April 6, 2017, 8:11 a.m.

TypeScript

60 -1

1,974 -1

146 +0

GitHub
ml5-library by ml5js

Friendly machine learning for the web! 🤖

created at Oct. 3, 2017, 8:45 p.m.

JavaScript

114 +0

6,412 +2

909 +1

GitHub
machine-learning-octave by trekhleb

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

created at Oct. 19, 2018, 9:02 a.m.

MATLAB

50 +0

832 +0

242 +0

GitHub
emel by mrdimosthenis

A simple and functional machine learning library for the Erlang ecosystem

created at Nov. 9, 2018, 11:44 p.m.

Gleam

7 +0

98 +0

5 +0

GitHub
lambdo by asavinov

Feature engineering and machine learning: together at last!

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

Python

3 +0

22 +0

4 +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
StatsKit.jl by JuliaStats

Convenience meta-package to load essential packages for statistics

created at Jan. 19, 2014, 12:24 a.m.

Julia

20 +0

138 +0

16 +0

GitHub
mindsdb by mindsdb

The platform for building AI from enterprise data

created at Aug. 2, 2018, 5:56 p.m.

Python

381 +0

22,811 +818

3,310 +375

GitHub
homemade-machine-learning by trekhleb

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

created at Nov. 1, 2018, 4:34 a.m.

Jupyter Notebook

940 +0

22,764 +22

4,031 +4

GitHub
machinelearnjs by kalimdorjs

Machine Learning library for the web and Node.

created at April 29, 2018, 12:14 a.m.

TypeScript

15 +0

538 +0

54 +0

GitHub
PyTorchCV by CVBox

PyTorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision.

created at Oct. 19, 2018, 3:38 a.m.

Shell

1 +0

47 +1

5 +0

GitHub
mars by mars-project

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

created at Dec. 5, 2018, 4:04 p.m.

Python

92 +0

2,683 +1

325 +0

GitHub
pyod by yzhao062

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

created at Oct. 3, 2017, 8:29 p.m.

Python

145 -1

8,229 +99

1,343 +10

GitHub
modAL by modAL-python

A modular active learning framework for Python

created at Nov. 14, 2017, 2:01 p.m.

Python

42 +0

2,167 +3

317 +0

GitHub