For the past year, we have compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance).
This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets, and apps published between January and December 2017.
evaluates the quality by considering popularity, engagement, and recency. To give you an idea about the quality, the average number of
Github stars is 3,558. Python Projects of the Year (avg. 3,707 *): Here (0 duplicate) Learn Machine Learning from Top Articles for the Past Year: Here (0 duplicate)
Open source projects can be useful for data scientists. You can learn by reading the source code and build something on top of the existing projects. Give a plenty of time to play around with Machine Learning projects you may have missed for the past year.
(Click the project number below. Credit is given to the biggest contributor.)
FastText: Library for fast text representation and classification. [
11786 stars on Github
]. Courtesy of
: Multilingual Unsupervised or Supervised word Embeddings, based on Fast Text. 695 stars on Github]
Deep-photo-style transfer: Code and data for paper "Deep Photo Style Transfer" [
9747 stars on Github]. Courtesy of Fujun Luan, Ph.D. at Cornell University
The world's simplest facial recognition API for Python and the command line [
8672 stars on Github]. Courtesy of Adam Geitgey Project 4
Magenta: Music and Art Generation with Machine Intelligence [
8113 stars on Github].
Sonnet: TensorFlow-based neural network library [
5731 stars on Github
]. Courtesy of
deeplearn.js: A hardware-accelerated machine intelligence library for the web [
5462 stars on Github]. Courtesy of Nikhil Thorat at Google Brain
Fast Style Transfer in TensorFlow [
4843 stars on Github]. Courtesy of Logan Engstrom at MIT
Pysc2: StarCraft II Learning Environment [
3683 stars on Github]. Courtesy of Timo Ewalds at DeepMind
AirSim: Open source simulator based on Unreal Engine for autoProjectmous vehicles from Microsoft AI & Research [
3861 stars on Github]. Courtesy of Shital Shah at Microsoft
Facets: Visualizations for machine learning datasets [
3371 stars on Github]. Courtesy of Google Brain
Style2Paints: AI colorization of images [
3310 stars on Github].
Tensor2Tensor: A library for the generalized sequence to sequence models - Google Research [
3087 stars on Github]. Courtesy of Ryan Sepassi at Google Brain
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more) [
2847 stars on Github]. Courtesy of Jun-Yan Zhu, Ph.D at Berkeley
Faiss: A library for efficient similarity search and clustering of dense vectors. [
2629 stars on Github]. Courtesy of Facebook Research
Fashion-mnist: A MNIST-like fashion product database [
2780 stars on Github]. Courtesy of Han Xiao, Research Scientist Zalando Tech
ParlAI: A framework for training and evaluating AI models on a variety of openly available dialog datasets [
2578 stars on Github]. Courtesy of Alexander Miller at Facebook Research
Fairseq: Facebook AI Research Sequence-to-Sequence Toolkit [
2571 stars on Github].
Pyro: Deep universal probabilistic programming with Python and PyTorch [
2387 stars on Github]. Courtesy of Uber AI Labs
iGAN: Interactive Image Generation powered by GAN [
2369 stars on Github].
Deep-image-prior: Image restoration with neural networks but without learning [
2188 stars on Github]. Courtesy of Dmitry UlyaProjectv, Ph.D at Skoltech
Face_classification: Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV. [
1967 stars on Github].
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition using DeepMind's WaveNet and tensorflow [
1961 stars on Github]. Courtesy of Namju Kim at Kakao Brain
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [
1954 stars on Github]. Courtesy of Yunjey Choi at Korea University
Ml-agents: Unity Machine Learning Agents [
1658 stars on Github]. Courtesy of Arthur Juliani, Deep Learning at Unity3D
DeepVideoAnalytics: A distributed visual search and visual data analytics platform [
1494 stars on Github]. Courtesy of Akshay Bhat, Ph.D at Cornell University
OpenNMT: Open-Source Neural Machine Translation in Torch [
1490 stars on Github].
Pix2pixHD: Synthesizing and manipulating 2048x1024 images with conditional GANs [1
283 stars on Github]. Courtesy of Ming-Yu Liu at AI Research Scientist at Nvidia
Horovod: Distributed training framework for TensorFlow. [
1188 stars on Github]. Courtesy of Uber Engineering
AI-Blocks: A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models [
899 stars on Github].
Deep neural networks for voice conversion (voice style transfer) in Tensorflow [
845 stars on Github]. Courtesy of Dabi Ahn, AI Research at Kakao Brain
That's it for Machine Learning open source projects. If you like this curation, read best daily articles based on your programming skills on our website.
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