Awesome List Updates on Oct 23, 2016
3 awesome lists updated today.
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1. Awesome Iot
Hardware
- HummingBoard - HummingBoard is a family of three Linux- and Android-ready, open source SBCs based on 1GHz Freescale i.MX6 SoCs, with a Pi-like 26-pin I/O connector.
2. Awesome Deep Vision
Image Generation / Question Answering
- Adversarial Networks
- Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio, Generative Adversarial Networks, NIPS, 2014. [Paper]
- Emily Denton, Soumith Chintala, Arthur Szlam, Rob Fergus, Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks, NIPS, 2015. [Paper]
- Lucas Theis, Aäron van den Oord, Matthias Bethge, "A note on the evaluation of generative models", ICLR 2016. [Paper]
- Zhenwen Dai, Andreas Damianou, Javier Gonzalez, Neil Lawrence, "Variationally Auto-Encoded Deep Gaussian Processes", ICLR 2016. [Paper]
- Elman Mansimov, Emilio Parisotto, Jimmy Ba, Ruslan Salakhutdinov, "Generating Images from Captions with Attention", ICLR 2016, [Paper]
- Jost Tobias Springenberg, "Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks", ICLR 2016, [Paper]
- Harrison Edwards, Amos Storkey, "Censoring Representations with an Adversary", ICLR 2016, [Paper]
- Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii, "Distributional Smoothing with Virtual Adversarial Training", ICLR 2016, [Paper]
- Jun-Yan Zhu, Philipp Krahenbuhl, Eli Shechtman, and Alexei A. Efros, "Generative Visual Manipulation on the Natural Image Manifold", ECCV 2016. [Paper] [Code (⭐3.9k)] [Video]
- Mixing Convolutional and Adversarial Networks
- Alec Radford, Luke Metz, Soumith Chintala, "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks", ICLR 2016. [Paper]
3. Awesome Javascript
Package Managers
- yarn - Fast, reliable, and secure dependency management.
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