| python-scikit-surprise |
1.1.1-1 |
1 |
0.00 |
Python scikit for building and analyzing recommender systems |
edh
|
| python-scikit-surprise-git |
1.0.4.r112.gef3ed6e-1 |
1 |
0.00 |
Python scikit for building and analyzing recommender systems |
edh
|
| python-skdata-git |
0.0.4.r441.3cfc359-2 |
2 |
0.00 |
Skdata is a library of data sets for machine learning and statistics. This module provides standardized Python 3 access to toy problems as well as popular computer vision and natural language processing data sets |
jyantis
|
| python-syft |
0.2.4-10 |
0 |
0.00 |
A Library for Private, Secure Deep Learning |
sfmajors373
|
| python-syft-git |
r5672.5998f68e-1 |
0 |
0.00 |
A library for encrypted, privacy preserving machine learning |
ModYokosuka
|
| python-tensorflow-computecpp |
1:1.9-6 |
0 |
0.00 |
Library for computation using data flow graphs for scalable machine learning (backend with ComputeCpp) |
mirh
|
| python-tensorflow-cpu-git |
1.8.0+2609+g1039ff9ee8-1 |
0 |
0.00 |
Library for computation using data flow graphs for scalable machine learning |
darnir
|
| python-tensorflow-cuda-git |
1.12.1+48078+gfe0dcca7437-1 |
2 |
0.00 |
Library for computation using data flow graphs for scalable machine learning (with CUDA) |
swiftscythe
|
| python-tensorflow-git |
1.12.1+48078+gfe0dcca7437-1 |
2 |
0.00 |
Library for computation using data flow graphs for scalable machine learning |
swiftscythe
|
| python-tensorflow-opt-native |
2.3.1-6 |
0 |
0.00 |
Library for computation using data flow graphs for scalable machine learning (with CPU optimizations) |
aviallon
|
| python-tensorflow-opt-native-cuda |
2.3.1-6 |
0 |
0.00 |
Library for computation using data flow graphs for scalable machine learning (with CUDA and CPU optimizations) |
aviallon
|
| python-tensorflow114 |
1.14.0-5 |
0 |
0.00 |
Library for computation using data flow graphs for scalable machine learning |
tbjta
|
| python-tensorflow114-cuda |
1.14.0-5 |
0 |
0.00 |
Library for computation using data flow graphs for scalable machine learning (with CUDA) |
tbjta
|
| python-tensorflow114-opt |
1.14.0-5 |
0 |
0.00 |
Library for computation using data flow graphs for scalable machine learning (with CPU optimizations) |
tbjta
|
| python-tensorflow114-opt-cuda |
1.14.0-5 |
0 |
0.00 |
Library for computation using data flow graphs for scalable machine learning (with CUDA and CPU optimizations) |
tbjta
|
| python-tensorflow2 |
2.0.0b1-1 |
0 |
0.00 |
An end-to-end open source machine learning platform (beta) |
trougnouf
|
| python-tensorly |
0.3.0-1 |
1 |
0.00 |
Simple and Fast Tensor Learning in Python |
deltaecho
|
| python-test-tube |
0.7.5-1 |
0 |
0.00 |
Machine learning / data science experiments logger and visualizer for pytorch. |
7Z0nE
|
| python-tf-encrypted |
0.6.0rc0-1 |
0 |
0.00 |
A Framework for Machine Learning on Encrypted Data. |
sfmajors373
|
| python-tflearn-git |
0.2.2.r144.gb33bee3-1 |
0 |
0.00 |
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. |
petronny
|
| python-timbl-git |
48-1 |
2 |
0.00 |
Python binding for Timbl, a k-Nearest Neighbours machine learning suite |
proycon
|
| python-torchio |
0.18.16-1 |
0 |
0.00 |
Tools for medical image processing in deep learning and PyTorch |
hottea
|
| python-tslearn |
0.1.29-1 |
0 |
0.00 |
'tslearn' is a python package that provides machine learning tools for the analysis of time series. |
jpreszler
|
| python-tslearn-git |
r837.1721482-1 |
0 |
0.00 |
A machine learning toolkit dedicated to time-series data. Version from the latest commit. |
getzze
|
| python-wandb-git |
0.10.12.dev1.r3662-1 |
0 |
0.00 |
Weights and Biases - organize and analyze machine learning experiments |
lumaku
|
| python-yellowbrick |
1.2-1 |
0 |
0.00 |
A suite of visual analysis and diagnostic tools for machine learning |
hexd
|
| python2-astroml |
0.3-1 |
5 |
0.00 |
AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, and matplotlib. |
guotsuan
|
| python2-astroml-addons-git |
2015.08.18.g660e18c-2 |
1 |
0.00 |
AstroML addons package contains addon code for the astroML package. AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, and matplotlib. |
guotsuan
|
| python2-astroml-git |
2017.05.03.g33b2006-1 |
1 |
0.00 |
AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, and matplotlib. |
guotsuan
|
| python2-chatterbot |
0.5.5-1 |
0 |
0.00 |
ChatterBot is a machine learning, conversational dialog engine. |
orphan
|
| python2-gym-git |
r761.efeadfd-1 |
1 |
0.00 |
A toolkit for developing and comparing reinforcement learning algorithms. |
cyrevolt
|
| python2-keras-git |
1.2.0.r106.ge54d7951-1 |
1 |
0.00 |
Theano-based Deep Learning library (convnets, recurrent neural networks, and more) |
StreakyCobra
|
| python2-mlpy |
3.5.0-1 |
6 |
0.00 |
Machine Learning PYthon (mlpy) is a high-performance Python package for predictive modeling. |
mschu
|
| python2-ml_metrics |
2015.09.08.g9a637ae-1 |
1 |
0.00 |
Python implementation of Metrics implementations a library of various supervised machine learning evaluation metrics |
ptrr
|
| python2-nilearn |
0.1.4.post1-1 |
0 |
0.00 |
Python library for fast and easy statistical learning on NeuroImaging data |
kshmelkov
|
| python2-nolearn-git |
0.6adev.0.5.r99.gfbf6f40-2 |
1 |
0.00 |
Contains a number of wrappers around existing neural network libraries, along with a few machine learning utility modules. Most functionality is written to be compatible with the the excellent scikit-learn library. |
jyantis
|
| python2-oger |
1.1.2-1 |
1 |
0.00 |
OrGanic Environment for Reservoir computing (Oger) is a Python toolbox for building, training and evaluating modular learning architectures |
Sandmann
|
| python2-openglcontext |
2.2.0a3-1 |
0 |
0.00 |
OpenGLcontext is a learning environment for PyOpenGL. |
lubosz
|
| python2-openglcontext-bzr |
2.2.0a3.567-1 |
0 |
0.00 |
OpenGLcontext is a learning environment for PyOpenGL. |
lubosz
|
| python2-pybrain |
0.3.1-1 |
1 |
0.00 |
A modular Machine Learning Library for Python |
orphan
|
| python2-pylearn2 |
0.1-1 |
1 |
0.00 |
Machine learning library based on Theano |
orphan
|
| python2-pylearn2-git |
0.1dev.r7042.8bd3cc2-2 |
2 |
0.00 |
A machine learning library for Python 2 based on Theano |
jyantis
|
| python2-skdata-git |
0.0.4.r441.3cfc359-2 |
1 |
0.00 |
Skdata is a library of data sets for machine learning and statistics. This module provides standardized Python 2 access to toy problems as well as popular computer vision and natural language processing data sets |
jyantis
|
| python2-tensorly |
0.3.0-1 |
1 |
0.00 |
Simple and Fast Tensor Learning in Python |
deltaecho
|
| python2-timbl-git |
41-3 |
1 |
0.00 |
Python binding for Timbl, a k-Nearest Neighbours machine learning suite |
proycon
|
| r-islr |
1.2-1 |
0 |
0.00 |
Data for an Introduction to Statistical Learning with Applications in R |
dviktor
|
| rdkit-git |
20161007-1 |
2 |
0.00 |
RDKit - A collection of cheminformatics and machine-learning software written in C++ and Python. |
orphan
|
| rdkit-git-python3 |
20161007-1 |
0 |
0.00 |
RDKit - A collection of cheminformatics and machine-learning software written in C++ and Python. |
orphan
|
| rdkit-python2 |
2018_09_3-1 |
0 |
0.00 |
RDKit - A collection of cheminformatics and machine-learning software written in C++ and Python. |
Athemis
|
| ruby-git_remote_branch |
0.3.8-1 |
1 |
0.00 |
git_remote_branch is a learning tool to ease the interaction with remote branches in simple situations. |
hcartiaux
|