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Adaptive Softmax implementation for PyTorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.
Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.
A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)
FAIR Convolutional Sequence to Sequence Learning implemented with Pytorch
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Reading Wikipedia to Answer Open-Domain Questions
The fast.ai deep learning library, lessons, and tutorials
A PyTorch implementation of a Factorization Machine module in cython.
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
Pytorch implementation of Dauphin et al. (2016) "Language Modeling with Gated Convolutional Networks"
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP
πHMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
LSTM-CRF in PyTorch
A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension
Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail
pytorch implmentation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Collection of paper latex template for several computer vision related conference.
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To implement the paper Pointer Sentinel Mixture Models in ICLR 2017
PyTorch tutorials demonstrating modern techniques with readable code
reproduce ACL2018 "Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism"
Re-implement "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.