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ggplot2 syntax in python. Actually wrapper around Wickham's ggplot2 in R
Representation learning on large graphs using stochastic graph convolutions.
Implementation of Graph Auto-Encoders in TensorFlow
Causal Effect Inference with Deep Latent-Variable Models
Tensors and Dynamic neural networks in Python with strong GPU acceleration
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Tools for diffing and merging of Jupyter notebooks.
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
With Holoviews, your data visualizes itself.
Implementation of Graph Convolutional Networks in TensorFlow
Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
Working repository for Causal Tree and extensions
Quickly and accurately render even the largest data.
Remove cell numbers and output from IPython notebooks when adding to a git repository
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Ne…
Common interface for Theano, CGT, and TensorFlow
A list of recent papers regarding deep reinforcement learning
Data and code behind the articles and graphics at FiveThirtyEight
Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
A Python implementation of LightFM, a hybrid recommendation algorithm.