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Machine Learning Logos

This repository hosts SVG vector versions of various ML library logos for convenience.

The logos are or may be trademarks of their respective owners.

Aside from the NumPy and Pytorch logos, the logos were hand-vectorized from raster sources with utmost love and caring.

Maintained by Valohai machine learning platform.

Caffe

Based on the typography of the Caffe site.

Font family: PT Serif Color: #C30000

Darknet

Based on the typography in the Darknet logo.

Font family: Luminari

Keras

Vectorized version of the Keras logo from Wikimedia.

Color: #D00000

Numpy

From the Numpy repository, with some fixes and minification applied.

Pytorch

From the Pytorch repository, with removal of CSS and minification applied.

TensorFlow

Based on the raster logo.

Font family: Interstate Regular

Theano

Based on theano_logo_allblue.svg with the text flattened to curves.

Font family: DejaVu Sans Mono

Torch

Based on torch-logo.png.

Font family: Titling Gothic FB Thin

MXNet

Based on mxnet2.png

Font Family: Titillium Web Regular Italic / Titillium Web Semibold Italic

CUDA

Based on NVIDIA_CUDA_V_2C_r.jpg

Matplotlib

Based on logo2.svg

Sympy

Based on sympy.svg

Scikit-learn

Based on scikit-learn-logo.svg

Caffe2

Based on an Illustrator image trace of the original .png logo.

PaddlePaddle

Original creator's version.

DL4J

Reconstructed by hand from DL4J.png.

Color from logo.png.

OpenVINO Toolkit

openvino-toolkit.svg is based on the logotype, as on the site, set in Intel Clear Pro using Intel blue (#0071c5).

openvino-2.svg is based on this logo. The text is set in Montreal Medium, which is not exactly the same, but very close.

ImageNet

Based on the official logo.

Set in slightly fattened (using stroke width) Myriad Pro Regular.

The fattening caused minor artifacts around the corners of glyphs, but it doesn't look too bad.

Pandas

Via https://github.com/pandas-dev/pandas/blob/761bceb77d44aa63b71dda43ca46e8fd4b9d7422/web/pandas/static/img/pandas.svg

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📷 SVG logos for various ML libraries

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