Dawen Liang

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. Python

lightfm. A Python implementation of LightFM, a hybrid recommendation algorithm.

simple_spearmint. Spearmint, without the gum

deep-exponential-families. Deep exponential families (DEFs)

autograd. Efficiently computes derivatives of NumPy code.

GPy. Gaussian processes framework in python

jupyterhub. Multi-user server for Jupyter notebooks

user-group. UCSD Scientific Python User Group

EBP_Matlab_Code. Matlab

github-cheat-sheet. A list of cool features of Git and GitHub.

iTorch. IPython kernel for Torch with visualization and plotting

spartan. Distributed Numpy

restricted-boltzmann-machines. Restricted Boltzmann Machines in Python.

daft. Render probabilistic graphical models using matplotlib

mondrianforest. Code for Mondrian Forests (for classification and regression)

lda-bump-cpp. Latent Dirichlet allocation (LDA) with bumping variational inference.

nips14-ssl. Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

Lasagne. Lightweight library to build and train neural networks in Theano

implicit-mf. Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.

wmf. Weighted matrix factorization in Python

smopy. OpenStreetMap image tiles in Python

Variational-Autoencoder. Implementation of a Variational Auto-Encoder in Theano

prettyplotlib. Painlessly create beautiful matplotlib plots.

pescador. Stochastic multi-stream sampling for iterative learning

mir_eval. Evaluation functions for music/audio information retrieval/signal processing algorithms.

spearmint. Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

dp_python. Optimized Dynamic Programming (Dynamic Time Warp) as a Python external

resume.github.com. Resumes generated using the GitHub informations

JSAnimation. [DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations

stan. Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

tikz-bayesnet. TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.

librosa. Python library for audio and music analysis

twolayer. Spatial and Transformational Invariants Matlab Code

MSongsDB. Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.