pyner🌈 Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer.
Stars: ✭ 45 (-10%)
Mutual labels: chainer
BMI219-2017-ProteinFoldingUCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)
Stars: ✭ 14 (-72%)
Mutual labels: chainer
TensorFlow-SR-DenseNetTensorflow with Image Super-Resolution Using Dense Skip Connections , color
Stars: ✭ 36 (-28%)
Mutual labels: superresolution
3dgan-chainer📦 A Chainer implementation of 3D Generative Adversarial Network.
Stars: ✭ 25 (-50%)
Mutual labels: chainer
chainer2pytorchConverts Chainer modules to PyTorch, parameters included.
Stars: ✭ 36 (-28%)
Mutual labels: chainer
convolutional seq2seqfairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
Stars: ✭ 63 (+26%)
Mutual labels: chainer
EinopsDeep learning operations reinvented (for pytorch, tensorflow, jax and others)
Stars: ✭ 4,022 (+7944%)
Mutual labels: chainer
chainer-graph-cnnChainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Stars: ✭ 67 (+34%)
Mutual labels: chainer
chainer-pix2pixChainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks
Stars: ✭ 40 (-20%)
Mutual labels: chainer
chainer-param-monitorMonitor parameter and gradient statistics during neural network training with Chainer
Stars: ✭ 13 (-74%)
Mutual labels: chainer
ChainerPrunerChainerPruner: Channel Pruning framework for Chainer
Stars: ✭ 21 (-58%)
Mutual labels: chainer
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (-58%)
Mutual labels: superresolution
chainer-fcis[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation
Stars: ✭ 45 (-10%)
Mutual labels: chainer
chainer-grad-camChainer implementation of Grad-CAM
Stars: ✭ 20 (-60%)
Mutual labels: chainer
rocganChainer implementation of the paper Robust Conditional Generative Adversarial Networks
Stars: ✭ 15 (-70%)
Mutual labels: chainer
kawaii creatorPhoto to illustration converter
Stars: ✭ 79 (+58%)
Mutual labels: chainer
SuperResolution-with-Perceptual-lossIn this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.
Stars: ✭ 17 (-66%)
Mutual labels: superresolution
chainer-sortSimple, Online, Realtime Tracking of Multiple Objects (SORT) implementation for Chainer and ChainerCV.
Stars: ✭ 20 (-60%)
Mutual labels: chainer
ICNRConvolution NN resize initialization for subpixel convolutions
Stars: ✭ 31 (-38%)
Mutual labels: superresolution
