pfnet-research

chainer-gan-lib

Chainer implementation of recent GAN variants

deep-learning generative-adversarial-network dcgan wgan-gp

Python MIT 77 352 9 3 Updated Nov 2, 2019
chainer-compiler

Experimental toolchain to compile and run Chainer models

Python MIT 24 100 36 0 Updated Nov 1, 2019
echainer

Elastic Chainer prototype

Python MIT 0 1 0 0 Updated Nov 1, 2019
ssdrl

Python MIT 0 4 0 0 Updated Oct 28, 2019
chainer-ev3

Jupyter Notebook BSD-3-Clause 0 3 0 0 Updated Oct 27, 2019
chainer-robotcar-text

0 10 0 0 Updated Oct 27, 2019
recompute

Python 0 1 0 0 Updated Oct 27, 2019
differentiable-ray-sampling

Jupyter Notebook MIT 0 2 0 0 Updated Oct 24, 2019
limited-gp

C++ MIT 0 4 0 0 Updated Oct 24, 2019
chainer-disentanglement-lib

Unsupervised Disentanglement Representation Learning in Chainer

Python MIT 1 8 0 1 Updated Oct 23, 2019
chainer-chemistry

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

python deep-learning neural-network chainer chemistry biology graph-convolutional-networks

Python MIT 92 362 19 4 Updated Oct 23, 2019
chainer-formulanet

Chainer implementation of FormulaNet

python deep-learning chainer theorem-proving graph-convolutional-networks graph-embedding premise-selection

Python MIT 2 5 0 0 Updated Oct 21, 2019
treewidth-prediction

Prediction of Treewidth using Graph Neural Network, developed as part of PFN summer internship 2019.

machine-learning deep-learning chainer graph-algorithms graph-convolutional-networks graph-neural-networks

Jupyter Notebook MIT 2 6 0 0 Updated Oct 10, 2019
chainer-differentiable-mpc

Differentiable MPC in Chainer, developed as part of PFN summer internship 2019.

machine-learning deep-learning chainer mpc trajectory-optimization optimal-control lqr

Python 2 6 0 0 Updated Oct 7, 2019
step-wise-chemical-synthesis-prediction

A GGNN-GWM based step-wise framework for Chemical Synthesis Prediction

python deep-learning chainer graph-convolutional-networks chemical-reactions graph-neural-networks

Python MIT 0 5 0 0 Updated Oct 1, 2019
k8s-cluster-simulator

Kubernetes cluster simulator for evaluating schedulers.

kubernetes simulator scheduler k8s

Go Apache-2.0 6 38 39 1 Updated Sep 29, 2019
unsupervised_segmental_empirical_ODM

Python 1 1 0 0 Updated Sep 27, 2019
optuna-hands-on

Jupyter Notebook 3 2 0 0 Updated Sep 10, 2019
chainer-stylegan

Chainer implementation of Style-based Generator

Python MIT 12 74 2 0 Updated Aug 29, 2019
tgan

The implementation of Temporal Generative Adversarial Nets with Singular Value Clipping

python machine-learning deep-learning generative-adversarial-network neural-networks

Python MIT 28 56 6 0 Updated Aug 20, 2019
einconv

Python MIT 1 12 0 0 Updated Aug 15, 2019
vat_nmt

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

nlp vat neural-machine-translation nmt adversarial acl2019

Python MIT 3 14 1 2 Updated Aug 7, 2019
KDD-Cup-AutoML-5

KDD Cup 2019 AutoML Track 5th solution

Python MIT 6 12 0 0 Updated Jul 22, 2019
graph-nvp

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

python deep-learning neural-network chainer chemistry generative-model graph-convolutional-networks

Python MIT 3 34 1 0 Updated Jul 16, 2019
node-menoh

NodeJS binding for Menoh DNN inference library

nodejs machine-learning neural-network chainer mkl-dnn inference-library onnx

JavaScript MIT 0 5 0 0 Updated Jul 11, 2019
git-ghost

Synchronize your working directory efficiently to a remote place without committing the changes.

git docker kubernetes reproducibility

Go Apache-2.0 3 45 10 2 Updated Jun 17, 2019
homebrew-git-ghost

Ruby Apache-2.0 0 2 0 0 Updated Jun 14, 2019
chainer-gogh

chainer artistic-style-transfer

Python MIT 60 302 5 2 Updated Jun 7, 2019
hyperbolic_wrapped_distribution

Python 2 11 0 0 Updated May 31, 2019
bayesgrad

BayesGrad: Explaining Predictions of Graph Convolutional Networks

python deep-learning neural-network chainer chemistry graph-convolutional-networks interpretability

Jupyter Notebook MIT 6 39 0 0 Updated May 28, 2019

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