Various machine learning open source projects featured TOP30

8,800 machine learning Open source projects for you to select TOP30.

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This article brings you 30 highly acclaimed machine learning open source projects.

Recently, Mybridge published an article comparing about 8,800 open-source projects in machine learning over the past year, selecting 30 outstanding Open source projects for 2017, including machine learning open source libraries, databases, and other applications, almost all of which were released in 1-December, 2017. Mybridge AI assesses open source projects through popularity, engagement, and other aspects.

For machine learners, reading open source code and building their own projects based on code is a very effective way to learn. Take a look at these open source projects on GitHub with an average star of 3558, which you're wrong about.

Before you begin, it is recommended to read

A. Neural network: Deep learning A-ZTM: Build Artificial neural network (recommended number of times 68,745 stars)

Links: Http://bit.ly/2CH1WcQ

B. Complete guide to deep learning in Python TensorFlow (recommended 17,834, 4.6/5 stars)

Links: Http://bit.ly/2EatVy7

Next is a selection of top 30 items from the Mybridge:

1.FastText: Fast text representation and text classification library (11786 stars on GitHub, contributors Facebook

SOURCE Link: Https://github.com/facebookresearch/MUSE

2.deep-photo-styletransfer: "Deep photo Style Transfer"
The source code and data of this paper. (GitHub 9747 stars, paper from Cornell University's Fujun Luan)

SOURCE Link: Https://github.com/luanfujun/deep-photo-styletransfer

3. The simplest facial recognition API (GitHub 8672 stars, contributor Adam Geitgey) implemented with Python and command line

SOURCE Link: https://github.com/ageitgey/face_recognition

4.Magenta: Using machine intelligence to generate music and art artwork (GitHub 8113 stars)

SOURCE Link: Https://github.com/tensorflow/magenta

5.Sonnet: TensorFlow based Neural network library (GitHub 573 stars, contributor is DeepMind's Malcolm Reynolds)

SOURCE Link: https://github.com/deepmind/sonnet

6.deeplearn.js: A hardware-accelerated machine learning library for the web (GitHub 5462 stars, the contributor is Google Brain's Nikhil Thorat)

SOURCE Link: https://github.com/PAIR-code/deeplearnjs

7. TensorFlow-based Fast style migration library (GitHub 4843 stars, the contributor is MIT's Logan Engstrom)

SOURCE Link: Https://github.com/lengstrom/fast-style-transfer

8.PYSC2: StarCraft 2 Learning Environment (GitHub 3684 stars, contributors are DeepMind's Timo Ewalds)

SOURCE Link: https://github.com/deepmind/pysc2

9.airsim:microsoft AI & Research Open source Unreal Engine-based open source simulator for autonomous driving (GitHub 3861 stars, contributor is Microsoft's Shital Shah)

SOURCE Link: Https://github.com/Microsoft/AirSim

10.acets: Visualization tool for machine learning Datasets (GitHub 3371 stars, contributed by Google brain)

SOURCE Link: https://github.com/PAIR-code/facets

11.style2paints: Tools for quick coloring of lines with AI technology (GitHub 3310 stars)

SOURCE Link: https://github.com/lllyasviel/style2paints

12.tensor2tensor: A library for generalized sequence-sequence models-Google Analytics (GitHub 3087 stars, contributors are Google brain's Ryan Sepassi)

SOURCE Link: https://github.com/tensorflow/tensor2tensor

13. Image conversion based on Pytorch implementation (GitHub 2847 stars, contributor Berkeley Jun-yan Zhu, Ph.D)

Source Address: Https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix

14.Faiss: Efficient similarity for dense vectors search libraries and clustering libraries (GitHub 2629 stars, contributors Facebook research)

Source Address: Https://github.com/facebookresearch/faiss

15.fashion-minist: Fashion product data set similar to Mnist (GitHub 2780 stars, the contributor is Zalando Tech's Han Xiao)

SOURCE Link: https://github.com/zalandoresearch/fashion-mnist

16.ParlAI: A framework that can be used to train and evaluate AI models on a wide range of publicly available dialog datasets (GitHub 2578 stars, the contributor is Facebook's Alexander Miller)

SOURCE Link: Https://github.com/facebookresearch/ParlAI

17.fairseq:facebook AI's sequence-sequence toolkit (GitHub 2571 stars)

SOURCE Link: https://github.com/facebookresearch/fairseq

18.Pyro: Deep Universal Probabilistic programming based on Python and Pytorch (GitHub 2387 stars, contributor Uber Engineering)

SOURCE Link: Https://github.com/uber/pyro

19.iGAN: Gan-based interactive image generation (GitHub 2369 stars)

Source Address: Https://github.com/junyanz/iGAN

20.deep-image-prior: Recovering images with a neural network (GitHub 2188 stars, contributors are Skoltech Dmitry Ulyanov, Ph.D)

Source Address: Https://github.com/DmitryUlyanov/deep-image-prior

21. Face classification: Based on Keras CNN model and OpenCV, using Fer2013/imdb datasets for real-time facial detection and emoticons/Sex classification (GitHub 1967 stars)

Source Address: Https://github.com/oarriaga/face_classification

22.speech-to-text-wavenet: End-to-end sentence-level English speech recognition using DeepMind's WaveNet and TensorFlow (GitHub 1961 stars, Kakao Brain's contributor Namju Kim)

Source Address: Https://github.com/buriburisuri/speech-to-text-wavenet

23.StarGAN: Unified Generation Network for multi-domain image-image conversion (GitHub 1954 stars, Contributor Korea University Yunjey Choi)

Source Address: Https://github.com/yunjey/StarGAN

24.mi-agents:unity Machine Learning Agent (GitHub 1658 stars, contributor Unity3d Arthur Juliani)

Source Address: Https://github.com/Unity-Technologies/ml-agents

25.DeepVideoAnalytics: A distributed visual search and data analysis platform (GitHub 1494 stars, contributors are Cornell University's Akshay Bhat)

Source Address: Https://github.com/AKSHAYUBHAT/DeepVideoAnalytics

Open source neural Machine translation Toolkit on 26.opennmt:torch (GitHub 1490 stars)

Source Address: Https://github.com/OpenNMT/OpenNMT

27.PIX2PIXHD: Synthesis and processing of 2048x1024 images using conditional gan (1283 stars from GitHub, the contributor is NVIDIA scientist Ming-yu Liu)

Source Address: Https://github.com/NVIDIA/pix2pixHD

28.horovod:tensorflow Fabric Training Frame (GitHub 1188 stars, from Uber)

Source Address: Https://github.com/uber/horovod

29.ai-blocks: A powerful and intuitive WYSIWYG interface that allows anyone to create a machine learning model (GitHub 899 stars)

Source Address: Https://github.com/MrNothing/AI-Blocks

30.Tensorflow Deep Neural network for voice style conversion (GitHub 845 stars, contributor is Dabi Ahn of Kakao Brain AI team)

Source Address: Https://github.com/andabi/deep-voice-conversion

Original link:
Https://medium.mybridge.co/30-amazing-machine-learning-projects-for-the-past-year-v-2018-b853b8621ac7