dawenl

pygg

ggplot2 syntax in python. Actually wrapper around Wickham's ggplot2 in R

dynet

DyNet: The Dynamic Neural Network Toolkit

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

gae

Implementation of Graph Auto-Encoders in TensorFlow

CEVAE

Causal Effect Inference with Deep Latent-Variable Models

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Stein-Variational-Gradient-Descent

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

nbdime

Tools for diffing and merging of Jupyter notebooks.

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

cfrnet

Counterfactual Regression

holoviews

With Holoviews, your data visualizes itself.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

pypolyagamma

Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.

jupyter-themes

Custom Jupyter Notebook Themes

causalTree

Working repository for Causal Tree and extensions

datashader

Quickly and accurately render even the largest data.

dropoutput

Remove cell numbers and output from IPython notebooks when adding to a git repository

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

GRU4Rec

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 Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

tensorfuse

Common interface for Theano, CGT, and TensorFlow

tribeflow

TribeFlow's source code

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

data

Data and code behind the articles and graphics at FiveThirtyEight

pgmult

Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation

variational_autoencoder

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

simple_spearmint

Spearmint, without the gum

deep-exponential-families

Deep exponential families (DEFs)