30 Amazing Machine Learning Projects for the Past Year (v.2018)
For the past year, we’ve 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. Mybridge AI 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.
[68,745 recommends, 4.5/5 stars]
[17,834 recommends, 4.6/5 stars]
(Click the numbers below. Credit given to the biggest contributor.)
FastText: Library for fast text representation and classification. [11786 stars on Github]. Courtesy of Facebook Research
……….. [ Muse: Multilingual Unsupervised or Supervised word Embeddings, based on Fast Text. 695 stars on Github]
Deep-photo-styletransfer: Code and data for paper “Deep Photo Style Transfer” [9747 stars on Github]. Courtesy of Fujun Luan, Ph.D. at Cornell University
Magenta: Music and Art Generation with Machine Intelligence [8113 stars on Github].
deeplearn.js: A hardware-accelerated machine intelligence library for the web [5462 stars on Github]. Courtesy of Nikhil Thorat at Google Brain
Pysc2: StarCraft II Learning Environment [3683 stars on Github]. Courtesy of Timo Ewalds at DeepMind
Facets: Visualizations for machine learning datasets [3371 stars on Github]. Courtesy of Google Brain
Style2Paints: AI colorization of images [3310 stars on Github].
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
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 Ulyanov, 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
OpenNMT: Open-Source Neural Machine Translation in Torch [1490 stars on Github].
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].
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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