Attention is all you needTransformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.
Stars: ✭ 303 (+1342.86%)
amta-netAsymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images
Stars: ✭ 26 (+23.81%)
TS3000 TheChatBOTIts a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.
Stars: ✭ 20 (-4.76%)
chainer-graph-cnnChainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
Stars: ✭ 67 (+219.05%)
superresolution ganChainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 50 (+138.1%)
CIANImplementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus
Stars: ✭ 17 (-19.05%)
DCAN[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717
Stars: ✭ 27 (+28.57%)
cups-rlCustomisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
Stars: ✭ 38 (+80.95%)
hexiaMid-level PyTorch Based Framework for Visual Question Answering.
Stars: ✭ 24 (+14.29%)
rnn-text-classification-tfTensorflow implementation of Attention-based Bidirectional RNN text classification.
Stars: ✭ 26 (+23.81%)
Brain-Tumor-SegmentationAttention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
Stars: ✭ 125 (+495.24%)
BidMachine-Android-SDKBuild direct relationships with demand partners and access higher prices and quality demand without obstacles
Stars: ✭ 22 (+4.76%)
En-transformerImplementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention
Stars: ✭ 131 (+523.81%)
h-transformer-1dImplementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
Stars: ✭ 121 (+476.19%)
uniformer-pytorchImplementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022
Stars: ✭ 90 (+328.57%)
long-short-transformerImplementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch
Stars: ✭ 103 (+390.48%)
SequenceToSequenceA seq2seq with attention dialogue/MT model implemented by TensorFlow.
Stars: ✭ 11 (-47.62%)
CrabNetPredict materials properties using only the composition information!
Stars: ✭ 57 (+171.43%)
LSTM-AttentionA Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
Stars: ✭ 53 (+152.38%)
chainer-sortSimple, Online, Realtime Tracking of Multiple Objects (SORT) implementation for Chainer and ChainerCV.
Stars: ✭ 20 (-4.76%)
chainer2pytorchConverts Chainer modules to PyTorch, parameters included.
Stars: ✭ 36 (+71.43%)
NARREThis is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
Stars: ✭ 100 (+376.19%)
chainer-param-monitorMonitor parameter and gradient statistics during neural network training with Chainer
Stars: ✭ 13 (-38.1%)
campaign-managerThe Camapign Management UI for RTB4Free, the open source bidder / DSP.
Stars: ✭ 24 (+14.29%)
CoinHiveA nice friendly simple and easly customizable GUI for coinhives javascript miner to embed onto websites so users of your site can interact with features of the miner on every single page this javascript miner is to help those who have problems with advertisements/advertising/ads popups banners mobile redirects malvertising/malware etc and provid…
Stars: ✭ 58 (+176.19%)
SAMNThis is our implementation of SAMN: Social Attentional Memory Network
Stars: ✭ 45 (+114.29%)
Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
Stars: ✭ 179 (+752.38%)
discourse-adpluginOfficial Discourse Advertising Plugin. Install & Start Serving Ads on Your Discourse Forum
Stars: ✭ 115 (+447.62%)
chainer-fcis[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation
Stars: ✭ 45 (+114.29%)
Machine-Translation-Hindi-to-english-Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.
Stars: ✭ 19 (-9.52%)
convolutional seq2seqfairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
Stars: ✭ 63 (+200%)
dgcnnClean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Stars: ✭ 21 (+0%)
efficient-attentionAn implementation of the efficient attention module.
Stars: ✭ 191 (+809.52%)
chainer-ResDropDeep Networks with Stochastic Depth implementation by Chainer
Stars: ✭ 40 (+90.48%)
BMI219-2017-ProteinFoldingUCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)
Stars: ✭ 14 (-33.33%)
clickbaiterGenerates clickbait tech headlines. Don't ask why.
Stars: ✭ 40 (+90.48%)
ChangeFormerOfficial PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection
Stars: ✭ 220 (+947.62%)
NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Stars: ✭ 23 (+9.52%)
TeadsSDK-iOSTeads SDK iOS Sample App - Check out an open-source sample of the Teads iOS SDK implementation
Stars: ✭ 22 (+4.76%)
chainer-pix2pixChainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks
Stars: ✭ 40 (+90.48%)
resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-9.52%)
Optic-Disc-UnetAttention Unet model with post process for retina optic disc segmention
Stars: ✭ 77 (+266.67%)
SiGATsource code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)
Stars: ✭ 37 (+76.19%)
Compact-Global-DescriptorPytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).
Stars: ✭ 22 (+4.76%)
RETRO-pytorchImplementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
Stars: ✭ 473 (+2152.38%)
FOCAL-ICLRCode for FOCAL Paper Published at ICLR 2021
Stars: ✭ 35 (+66.67%)
memory-compressed-attentionImplementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"
Stars: ✭ 47 (+123.81%)
rocganChainer implementation of the paper Robust Conditional Generative Adversarial Networks
Stars: ✭ 15 (-28.57%)
tutorialsIntroduction to Deep Learning: Chainer Tutorials
Stars: ✭ 68 (+223.81%)
stanford-cs231n-assignments-2020This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Stars: ✭ 84 (+300%)
visdialVisual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)
Stars: ✭ 27 (+28.57%)