turicreate by apple

Turi Create simplifies the development of custom machine learning models.

created at Dec. 1, 2017, 12:42 a.m.

C++

338 +0

11,157 +0

1,134 +0

GitHub
neonrvm by siavashserver

An open source machine learning library for performing regression tasks using RVM technique.

created at Feb. 17, 2018, 7:50 a.m.

C

1 +0

36 +0

4 +0

GitHub
Parris by jgreenemi

Parris, the automated infrastructure setup tool for machine learning algorithms.

created at Jan. 1, 2018, 11:34 a.m.

Python

17 +0

316 -1

22 +0

GitHub
cogitare by cogitare-ai

🔥 Cogitare - A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python

created at June 19, 2017, 4:41 a.m.

Python

9 +0

76 +0

10 +0

GitHub
stacked_generalization by fukatani

Library for machine learning stacking generalization.

created at May 10, 2016, 3:35 p.m.

Python

11 +0

117 +0

23 +0

GitHub
xRBM by omimo

Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

created at Dec. 2, 2016, 6:19 a.m.

Python

8 +0

55 -1

21 +0

GitHub
ML-From-Scratch by eriklindernoren

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

created at Feb. 5, 2017, 12:11 p.m.

Python

938 +0

23,218 +20

4,506 -2

GitHub
pytorch by pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

created at Aug. 13, 2016, 5:26 a.m.

Python

1,711 +5

78,367 +235

21,137 +52

GitHub
xcessiv by reiinakano

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

created at March 7, 2017, 6:18 p.m.

Python

57 +0

1,266 +0

106 +0

GitHub
fuku-ml by fukuball

Simple machine learning library / 簡單易用的機器學習套件

created at Jan. 15, 2016, 4:05 p.m.

Python

23 +0

281 +0

76 +0

GitHub
sklearn-bayes by AmazaspShumik

Python package for Bayesian Machine Learning with scikit-learn API

created at July 30, 2015, 3:15 a.m.

Jupyter Notebook

34 +0

507 +1

118 +0

GitHub
rep by yandex

Machine Learning toolbox for Humans

created at April 13, 2015, 6:32 p.m.

Jupyter Notebook

51 +0

681 +0

158 +0

GitHub
milk by luispedro

MILK: Machine Learning Toolkit

created at Nov. 20, 2009, 9:17 p.m.

Python

57 -1

608 +0

146 +0

GitHub
DIGITS by NVIDIA

Deep Learning GPU Training System

created at March 17, 2015, 4 p.m.

HTML

319 +0

4,114 +1

1,378 +0

GitHub
pgmpy by pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

created at Sept. 20, 2013, 8:18 a.m.

Python

75 +0

2,625 +3

691 +2

GitHub
annoy by spotify

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

created at April 1, 2013, 8:29 p.m.

C++

317 -1

12,750 +34

1,141 +2

GitHub
neural-networks-and-deep-learning by mnielsen

Code samples for my book "Neural Networks and Deep Learning"

created at Nov. 13, 2012, 1:38 p.m.

Python

1,100 +0

15,503 +26

6,449 +4

GitHub
neon by NervanaSystems

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

created at Oct. 16, 2014, 1 a.m.

Python

328 +0

3,870 +0

810 +0

GitHub
mlxtend by rasbt

A library of extension and helper modules for Python's data analysis and machine learning libraries.

created at Aug. 14, 2014, 1:56 a.m.

Python

117 +0

4,774 +5

846 +2

GitHub
data-science-ipython-notebooks by donnemartin

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

created at Jan. 23, 2015, 7:38 p.m.

Python

1,619 +0

26,524 +16

7,731 +3

GitHub