Beast code in Giters

David Duvenaud's starred repositories

remark

A simple, in-browser, markdown-driven slideshow tool.

Language:JavaScriptMIT12638 205 526

ganhacks

starter from "How to Train a GAN?" at NIPS2016

11373 347 69

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

Language:PythonMIT10638 423 28

Idris-dev

A Dependently Typed Functional Programming Language

Language:HaskellNOASSERTION3406 120 2336

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.

Language:C++BSD-3-Clause2536 121 1702

tangent

Source-to-Source Debuggable Derivatives in Pure Python

Language:PythonApache-2.02308 67 56

example-models

Example models for Stan

Language:HTML760 99 74

category-theory

An axiom-free formalization of category theory in Coq for personal study and practical work

Language:CoqBSD-3-Clause735 20 19

certigrad

Bug-free machine learning on stochastic computation graphs

Language:LeanApache-2.0385 34 1

mici

Manifold Markov chain Monte Carlo methods in Python

Language:PythonMIT209 17 5

relax

Optimizing control variates for black-box gradient estimation

Language:Python160 22 4

molecule-autoencoder

A project to enable optimization of molecules by transforming them to and from a continuous representation.

Language:Python153 39 9

nips17-rexgen

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)

Language:PythonMIT142 5 6

latexipy

Generate beautiful plots for LaTeX using your existing matplotlib-based code.

Language:PythonMIT129 6 2

Nabla.jl

A operator overloading, tape-based, reverse-mode AD

Language:JuliaNOASSERTION67 16 95

keras-neural-graph-fingerprint

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

Language:PythonMIT46 8 12

rebar

A Python implementation of the gradient REBAR estimator.

Language:Python45 6 5

recnn

Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"

Language:Jupyter NotebookBSD-3-Clause44 9 2

LAHMC

Look Ahead Hamiltonian Monte Carlo

Language:Matlab30 5 2

rugrads

A proof of concept automatic differentiation library for Rust

Language:Rust23 5 1

bayesbackprop

Language:Python9 2 1

iwae

Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT

Language:Python8 10

design_embeddings_jmd_2016

Experiment code associated with our JMD paper: "Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces"

Language:PythonMIT7 40

Other_Code

Miscellaneous code

Language:Jupyter Notebook6 30

neural_network_tutorials

A repository demonstrating concise, educational machine learning implementations in python

Language:Python6 20

IRVI

Iterative Refinement of the Approximate Posterior for Directed Belief Networks (http://arxiv.org/abs/1511.06382)

Language:Python6 80

opfmbrl

Model-based Reinforcement Learning for Optimal Power Flow

Language:Jupyter Notebook5 30

STA414

Notes and code for STA414

2 30

inference_sandbox

A simple sandbox environment build on top of tensorflow for testing variational inference algorithms

Language:Python2 40

ECE521

Notes and code for ECE521

1 30