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)
- Machine Learning Open Source Tools & Projects of the Year v.2019: Here
- Machine Learning Articles of the Year v.2019: Here
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.
<Recommended Learning>
Deep Learning A-Z™: Hands-On Artificial Neural Networks
[68,745 recommends, 4.5/5 stars]
Complete Guide to TensorFlow for Deep Learning with Python
[17,834 recommends, 4.6/5 stars]
(Click the numbers below. Credit given to the biggest contributor.)
No 1
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]
No 2
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
No 3
The world’s simplest facial recognition api for Python and the command line [8672 stars on Github]. Courtesy of Adam Geitgey
No 5
Sonnet: TensorFlow-based neural network library [5731 stars on Github]. Courtesy of Malcolm Reynolds at Deepmind
No 6
deeplearn.js: A hardware-accelerated machine intelligence library for the web [5462 stars on Github]. Courtesy of Nikhil Thorat at Google Brain
No 8
Pysc2: StarCraft II Learning Environment [3683 stars on Github]. Courtesy of Timo Ewalds at DeepMind
No 9
AirSim: Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research [3861 stars on Github]. Courtesy of Shital Shah at Microsoft
No 10
Facets: Visualizations for machine learning datasets [3371 stars on Github]. Courtesy of Google Brain
No 12
Tensor2Tensor: A library for generalized sequence to sequence models — Google Research [3087 stars on Github]. Courtesy of Ryan Sepassi at Google Brain
No 13
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
No 14
Faiss: A library for efficient similarity search and clustering of dense vectors. [2629 stars on Github]. Courtesy of Facebook Research
No 15
Fashion-mnist: A MNIST-like fashion product database [2780 stars on Github]. Courtesy of Han Xiao, Research Scientist Zalando Tech
No 16
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
No 18
Pyro: Deep universal probabilistic programming with Python and PyTorch [2387 stars on Github]. Courtesy of Uber AI Labs
No 20
Deep-image-prior: Image restoration with neural networks but without learning [2188 stars on Github]. Courtesy of Dmitry Ulyanov, Ph.D at Skoltech
No 21
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].
No 22
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
No 23
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [1954 stars on Github]. Courtesy of Yunjey Choi at Korea University
No 24
Ml-agents: Unity Machine Learning Agents [1658 stars on Github]. Courtesy of Arthur Juliani, Deep Learning at Unity3D
No 25
DeepVideoAnalytics: A distributed visual search and visual data analytics platform [1494 stars on Github]. Courtesy of Akshay Bhat, Ph.D at Cornell University
No 27
Pix2pixHD: Synthesizing and manipulating 2048x1024 images with conditional GANs [1283 stars on Github]. Courtesy of Ming-Yu Liu at AI Research Scientist at Nvidia
No 28
Horovod: Distributed training framework for TensorFlow. [1188 stars on Github]. Courtesy of Uber Engineering
No 29
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 of the Year. Visit our publication to find top posts for more programming skills.
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