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We picked out Top 10, Github average star979 from 250 machine learning open source projects.

via:博客园     time:2018/5/24 17:12:14     readed:254

Translator Shawn

Produced by AI Technology Base (public ID: rgznai100)

In the past month, Mybridge selected Top 10 from 250 machine learning open source projects. Mybridge AI compared the new projects and major projects released during this period, and then measured the quality of these projects based on multiple indicators, and finally generated the rankings of these projects. I hope you can find interesting projects inspired by them.

(Previously published articles of many favorite articles of the favorite party, but also from Mybridge: 1 Python open source project Top 10 featured, the average star is 1128! 2 Top30 selected from 15000 Python open source projects, Github average star is 3707, and quickly collected ! 3 We have selected Top30 from 8800 machine learning open source projects and recommended it to you. 45 months Python good article TOP 10 Freshly baked, selected from 1,000 articles. Did you read it? 5 We picked out 1400 machine learning articles Top 10)

▌No.1

"Incremental Training of GANs: Training GANs in a Progressive Way for Better Quality, Stability and Variability" (star:2523)

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project address:

Https://github.com/tkarras/progressive_growing_of_gans

Paper address:

http://research.nvidia.com/publication/2017-10_Progressive-Growing-of

▌No.2

ELF: A scalable, lightweight, flexible game research platform. We use this platform to develop the robot to play Go. It is ELF OpenGo. This robot has 14 wins and 0 losses against the top 30 players in the world's top 30 games. (star:1600)

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project address:

https://github.com/pytorch/ELF

▌No.3

DeepLearn: Research Paper on Deep Learning, Natural Language Processing, and Computer Vision using Python in Keras, Tensorflow, and Scikit Learn (star:1277)

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Project links:

https://github.com/GauravBh1010tt/DeepLearn

▌No.4

MUNIT: Multimodal unsupervised image-to-image conversion (star:813)

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project address:

https://github.com/NVlabs/MUNIT

Paper address:

Https://arxiv.org/abs/1804.04732

▌No.5

MMdnn: A set of tools to help users interoperate between different deep learning frameworks. For example: model transformation and visualization. Conversion model between Caffe, Keras, MXNet and Tensorflow (star: 1488)

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▌No.6

Textgenrnn: Python module for easily generating text using pre-trained character-based recurrent neural networks (star:620)

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project address:

Https://github.com/minimaxir/textgenrnn

▌No.7

Donkey: Python Library for Modular Talk Driverless Cars (star:756)

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project address:

Https://github.com/wroscoe/donkey

▌No.8

TwinGAN: Unbalanced cross-domain image conversion using weight-sharing GAN (star: 234)

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project address:

https://github.com/jerryli27/TwinGAN

▌No.9

Gluon-nlp: Making natural language processing easier (star:545)

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project address:

Https://github.com/dmlc/gluon-nlp

▌No.10

Nvvl: A library that accelerates machine learning training by hardware accelerated loading of video frame sequences (star:294)

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project address:

https://github.com/NVIDIA/nvvl

Paper address:

Https://devblogs.nvidia.com/acclerate-machine-learnng-nvvl/

Original link:

Https://medium.mybridge.co/machine-learning-open-source-of-the-month-v-may-2018-efd396d9306e

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