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- TensorFlow http://tensorflow.org/ 440 comments
- Stan - Stan https://mc-stan.org/ 127 comments
- http://www.deeplearning.net/software/theano/ 12 comments
- http://www.cs.toronto.edu/~vmnih/docs/dqn.pdf 10 comments
- Mastering the game of Go with deep neural networks and tree search | Nature http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html 6 comments
- GitHub - blei-lab/edward: A probabilistic programming language in TensorFlow. Deep generative models, variational inference. https://github.com/blei-lab/edward 4 comments
- [1312.6114] Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114 4 comments
- MCMC sampling for dummies — While My MCMC Gently Samples http://twiecki.github.io/blog/2015/11/10/mcmc-sampling/ 0 comments
- Perceptron - Wikipedia https://en.wikipedia.org/wiki/Perceptron 0 comments
- The Best Of Both Worlds: Hierarchical Linear Regression in PyMC3 — While My MCMC Gently Samples http://twiecki.github.io/blog/2014/03/17/bayesian-glms-3/ 0 comments
- [1409.4842] Going Deeper with Convolutions http://arxiv.org/abs/1409.4842 0 comments
- Random forest - Wikipedia http://en.wikipedia.org/wiki/Random_forest 0 comments
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