ChainerPrunerChainerPruner: Channel Pruning framework for Chainer
Stars: ✭ 21 (-92.66%)
Alpha Zero GeneralA clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Stars: ✭ 2,617 (+815.03%)
BMI219-2017-ProteinFoldingUCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)
Stars: ✭ 14 (-95.1%)
chainer-Fast-WaveNetA Chainer implementation of Fast WaveNet(mel-spectrogram vocoder).
Stars: ✭ 33 (-88.46%)
PaiResource scheduling and cluster management for AI
Stars: ✭ 2,223 (+677.27%)
superresolution ganChainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 50 (-82.52%)
convolutional seq2seqfairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
Stars: ✭ 63 (-77.97%)
KissCode for the paper "KISS: Keeping it Simple for Scene Text Recognition"
Stars: ✭ 108 (-62.24%)
lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
Stars: ✭ 27 (-90.56%)
chainer2pytorchConverts Chainer modules to PyTorch, parameters included.
Stars: ✭ 36 (-87.41%)
chainer-DenseNetDensely Connected Convolutional Network implementation by Chainer
Stars: ✭ 39 (-86.36%)
FcnChainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Stars: ✭ 211 (-26.22%)
NnpulearningNon-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Stars: ✭ 181 (-36.71%)
tutorialsIntroduction to Deep Learning: Chainer Tutorials
Stars: ✭ 68 (-76.22%)
EendEnd-to-End Neural Diarization
Stars: ✭ 153 (-46.5%)
chainer-ADDAAdversarial Discriminative Domain Adaptation in Chainer
Stars: ✭ 24 (-91.61%)
ChainercvChainerCV: a Library for Deep Learning in Computer Vision
Stars: ✭ 1,463 (+411.54%)
chainer-sortSimple, Online, Realtime Tracking of Multiple Objects (SORT) implementation for Chainer and ChainerCV.
Stars: ✭ 20 (-93.01%)
chainer-fcis[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation
Stars: ✭ 45 (-84.27%)
ComicolorizationThis is the implementation of the "Comicolorization: Semi-automatic Manga Colorization"
Stars: ✭ 99 (-65.38%)
deep-INFOMAXChainer implementation of deep-INFOMAX
Stars: ✭ 32 (-88.81%)
chainer-pix2pixChainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks
Stars: ✭ 40 (-86.01%)
3dgan-chainer📦 A Chainer implementation of 3D Generative Adversarial Network.
Stars: ✭ 25 (-91.26%)
pyner🌈 Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer.
Stars: ✭ 45 (-84.27%)
EinopsDeep learning operations reinvented (for pytorch, tensorflow, jax and others)
Stars: ✭ 4,022 (+1306.29%)
chainer-LSGANLeast Squares Generative Adversarial Network implemented in Chainer
Stars: ✭ 16 (-94.41%)
Bert ChainerChainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
Stars: ✭ 205 (-28.32%)
captioning chainerA fast implementation of Neural Image Caption by Chainer
Stars: ✭ 17 (-94.06%)
Dynamic routing between capsulesImplementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
Stars: ✭ 202 (-29.37%)
Multi-task-Conditional-Attention-NetworksA prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.
Stars: ✭ 21 (-92.66%)
ImgclsmobSandbox for training deep learning networks
Stars: ✭ 2,405 (+740.91%)
graph-nvpGraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Stars: ✭ 69 (-75.87%)
chainer-ResDropDeep Networks with Stochastic Depth implementation by Chainer
Stars: ✭ 40 (-86.01%)
Chainer Cifar10Various CNN models for CIFAR10 with Chainer
Stars: ✭ 134 (-53.15%)
chainer-graph-cnnChainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Stars: ✭ 67 (-76.57%)
Adversarial textCode for Adversarial Training Methods for Semi-Supervised Text Classification
Stars: ✭ 109 (-61.89%)
rocganChainer implementation of the paper Robust Conditional Generative Adversarial Networks
Stars: ✭ 15 (-94.76%)
Portrait mattingImplementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.
Stars: ✭ 267 (-6.64%)
inv rlInverse Reinforcement Learning Argorithms
Stars: ✭ 34 (-88.11%)
book-ml書籍「今すぐ試したい!機械学習・深層学習(ディープラーニング)画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。
Stars: ✭ 29 (-89.86%)
efficient softmaxBlackOut and Adaptive Softmax for language models by Chainer
Stars: ✭ 12 (-95.8%)
chainer-param-monitorMonitor parameter and gradient statistics during neural network training with Chainer
Stars: ✭ 13 (-95.45%)