Wood Gesellschaft Applied Physics Laboratory

wgapl

Github page of Wood Gesellschaft Applied Physics Laboratory

Seattle, Washington

http://wgapl.com

Wood Gesellschaft Applied Physics Laboratory's repositories

moose

Multiphysics Object Oriented Simulation Environment

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adaptive-neural-compilation

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ALI

Adversarially Learned Inference

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amazon-dsstne

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

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async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

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bazel

Correct, reproducible, and fast builds for everyone.

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blocks-extras

A collection of extensions to the Blocks framework

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cgt

Computation Graph Toolkit

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context-encoder

Unsupervised Feature Learning by Image Inpainting

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cs294_solutions

Homework solutions for CS 294 - Deep Reinforcement Learning @ UC Berkeley

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D-GEX

Deep learning for gene expression inference

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deep3d

Automatic 2D-to-3D Video Conversion with CNNs

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DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

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End-To-End-Generative-Dialogue

A neural conversation model

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grpc

The C based gRPC (C++, Node.js, Python, Ruby, Objective-C, PHP, C#)

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libmesh

libMesh github repository

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minicron

A system to manage and monitor cron jobs.

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MITIE

MITIE: library and tools for information extraction

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MIXER

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

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mosesdecoder

Moses, the machine translation system

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my_bst

Quick and dirty binary search tree in ANSI C.

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my_hessianfree

Quick and dirty Hessian-Free Optimization Routine.

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neural-vqa

CNN+LSTM model for Visual Question Answering

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ompl

The Open Motion Planning Library (OMPL), mirror of:

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ORB_SLAM

A Versatile and Accurate Monocular SLAM

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tensorflow

Open source software library for numerical computation using data flow graphs.

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Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

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torch-opencv-demos

Torch7+OpenCV+ConvNets

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Wikipedia

A Pythonic wrapper for the Wikipedia API

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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