The most popular 30 open source machine learning program in the 2017 GitHub

What machine learning programs have been the most watched in 2017 years. Mybridge a list of top 30 for us, with GitHub links attached to all of the following items.

We compared nearly 8,800 Kaiyuan machine learning programs and selected the best of the 30. This is a very competitive list of all the outstanding machine learning libraries, datasets, and applications for January 2017-December open source. Mybridge AI Ratings by popularity, participation, and freshness. Let me first give you a visual impression: their GitHub average stars are 3,558.

Open source projects are very meaningful for data scientists, and we can build more powerful projects on the basis of our predecessors by reading the source code. Now, you can try these last year's best projects.

No.1

Fasttext: Quick text representation/classification library, from Facebook (GitHub 11,786 stars)

Link: https://github.com/facebookresearch/fastText

Content reference to: Facebook releases new fasttext: Expand to Mobile end, add tutorials

PS Muse: Multi-lingual unsupervised/supervised word embedding, based on Fasttext (GitHub 695 stars)

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

No.2

Deep-photo-styletransfer: Code and data for Deep photo Style Transfer, Cornell University Fujun Luan (GitHub 9747 stars)

Link: https://github.com/luanfujun/deep-photo-styletransfer

No.3

Face recognition: The simplest Python command line facial recognition API from Adam geitgey (GitHub 8672 stars)

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

Content reference to: Open source face recognition library based on Python: off-line recognition rate up to 99.38%

No.4

Magenta: Machine Intelligent music and art builder (GitHub 8113 stars)

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

Content reference to: Google Magenta Project is how to teach the neural network to write music.

No.5

Sonnet: Neural network base based on TensorFlow (GitHub 5731 stars), from DeepMind member Malcolm Reynolds

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

Content reference to: DeepMind Open source Sonnet: Can quickly build neural network in TensorFlow

No.6

Deeplearn.js: web-side hardware acceleration machine learning Library from Google Brain team Nikhil Thorat (GitHub 5462 stars)

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

Content reference to: Google Open source deeplearn.js: On the Web page to achieve hardware accelerated machine learning

No.7

Fast style transfer:tensorflow quick stylistic conversion from the Logan Engstrom (GitHub 4843 stars) at MIT

Link: https://github.com/lengstrom/fast-style-transfer

No.8

PYSC2: StarCraft 2 learning environment, from DeepMind Timo Ewalds and others (GitHub 3683 stars)

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

No.9

Airsim: Open source autopilot simulator based on Unreal Engine, proposed by Microsoft Research Shital Shah and others (GitHub 3861 stars)

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

No.10

Facets: Machine learning DataSet visualization tool, from Google Brain (GitHub 3371 stars)

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

Content reference to: Google Open source machine learning visualization tool Facets: Look at the data from a new angle

No.11

Style2paints:ai Comic Line coloring tool from Suzhou University (GitHub 3310 Stars)

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

Content reference to: style2paints: Professional AI comic line automatic coloring tool

No.12

Tensor2tensor: Tool library for generalized sequence-sequence models, from Ryan Sepassi of Google Brain (GitHub 3087 stars)

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

Content reference to: A model library learn all: Google Open source modular depth Learning system tensor2tensor

No.13

Cyclegan and Pix2pix in Pytorch: Pytorch-based image-image conversion tool, from UC Berkeley, PhD Zhu Junyan (GitHub 2847 stars)

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

Reference content: You come to hand-painted graffiti, artificial intelligence generated "cat slice":edges2cats image Conversion

No.14

Faiss: A tool library for searching and clustering with dense vector-efficient similarity, from Facebook (GitHub 2629 stars)

Link: Https://github.com/facebookresearch/faiss

No.15

Fashion-mnist: A fashion product dataset similar to Mnist, from Han Xiao of Zalando Tech (GitHub 2780 stars)

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

No.16

Parlai: Framework for training and evaluating AI models on a variety of publicly available conversation datasets, Alexander Miller (GitHub 2578 stars) from Facebook

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

Content reference to: Facebook Open source AI framework Parlai: Easy Training Assessment Dialog model

No.17

Fairseq: Sequences from FAIR to sequence kits (GitHub 2571 stars)

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

Content reference to: Facebook proposes new CNN machine translation: Accuracy beyond Google and is nine times times faster (open source)

No.18

Pyro: Use Python and pytorch for depth general probability programming, from Uber AI Labs (GitHub 2387 stars)

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

Content reference to: Uber and Stanford University open source depth probability programming language pyro: Based on Pytorch

No.19

IgAN: An interactive image generator based on GAN (GitHub 2369 stars)

Link: Https://github.com/junyanz/iGAN

Content reference to: University of Berkeley and Adobe Open source depth learning image editing Tool IgAN

No.20

Deep-image-prior: Using neural networks for image recovery without learning process, from Skoltech's Ulyanov (GitHub 2188 stars)

Link: https://github.com/DmitryUlyanov/deep-image-prior

No.21

Face classification: Real-time facial detection and expression/sex classification based on Keras CNN model and OpenCV, training and Fer2013/imdb data sets (GitHub 1967 stars)

Link: https://github.com/oarriaga/face_classification

No.22

Speech to Text wavenet: Use DeepMind wavenet and TensorFlow to form an end-to-end sentence-level English speech recognition, Kakao Brain from Namju Kim (GitHub 1961 stars)

Link: https://github.com/buriburisuri/speech-to-text-wavenet

Content reference to: DeepMind wavenet, the machine synthetic voice level and the human gap reduced by 50%

No.23

Stargan: A unified generation confrontation network for multi-domain image-image conversion (GitHub 1954 stars)

Link: Https://github.com/yunjey/StarGAN

No.24

Mi-agents:unity machine learning agent, Arthur Juliani from Unity3d (GitHub 1658 stars)

Link: https://github.com/Unity-Technologies/ml-agents

No.25

Deep Video Analytics: Distributed visual search and visualization data analysis platform, from Cornell University's Akshay Bhat (GitHub 1494 stars)

Link: https://github.com/AKSHAYUBHAT/DeepVideoAnalytics

No.26

Open source neural machine translation on Opennmt:torch (GitHub 1490 stars)

Link: Https://github.com/OpenNMT/OpenNMT

Content reference to: Harvard University NLP Group Open Source Neural Machine Translation Toolkit OPENNMT: Production available level has been reached

No.27

PIX2PIXHD: Using conditional GAN to synthesize and process 2048x1024 resolution images from NVIDIA AI scientist Ming-yu Liu (GitHub 1283 stars)

Link: Https://github.com/NVIDIA/pix2pixHD

No.28

HOROVOD: Distributed TensorFlow Training Framework, from Uber Engineering team (GitHub 1188 stars)

Link: Https://github.com/uber/horovod

Content reference to: detailed Horovod:uber open source TensorFlow distributed depth Learning framework

No.29

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

Link: https://github.com/MrNothing/AI-Blocks

No.30

Voice conversion with Non-parallel Data: Deep Neural network voice conversion based on TensorFlow (voice-style conversion) from Kakao Brain team Dabi Ahn (GITHUB)

Link: 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